U.S. patent application number 16/928990 was filed with the patent office on 2020-10-29 for systems and methods for converting and delivering medical images to mobile devices and remote communications systems.
The applicant listed for this patent is TRICE IMAGING, INC.. Invention is credited to Johanna Wollert MELIN, Asa Sjoblom NORDGREN, Martin WESTIN.
Application Number | 20200342980 16/928990 |
Document ID | / |
Family ID | 1000004957755 |
Filed Date | 2020-10-29 |
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United States Patent
Application |
20200342980 |
Kind Code |
A1 |
WESTIN; Martin ; et
al. |
October 29, 2020 |
SYSTEMS AND METHODS FOR CONVERTING AND DELIVERING MEDICAL IMAGES TO
MOBILE DEVICES AND REMOTE COMMUNICATIONS SYSTEMS
Abstract
A system for delivery of medical images, comprising an operator
device to send a request to a delivery service coupled with a data
storage system, where the request comprises an identifier. A
medical image file in the data storage system comprises meta data
associated with the identifier. The medical image file is converted
into a format compatible with a determined output modality based on
the meta data for a recipient device. The system can include a
mobile viewer device to receive a converted medical image file,
where the meta data associated with the determined output modality
includes device-dependent data in header fields pertaining to the
recipient device which is to receive the converted medical image
file.
Inventors: |
WESTIN; Martin; (Stockholm,
SE) ; MELIN; Johanna Wollert; (Stockholm, SE)
; NORDGREN; Asa Sjoblom; (San Diego, CA) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
TRICE IMAGING, INC. |
Del Mar |
CA |
US |
|
|
Family ID: |
1000004957755 |
Appl. No.: |
16/928990 |
Filed: |
July 14, 2020 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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15882487 |
Jan 29, 2018 |
10748648 |
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16928990 |
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14805442 |
Jul 21, 2015 |
9881127 |
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15882487 |
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12904867 |
Oct 14, 2010 |
9087080 |
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14805442 |
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61251334 |
Oct 14, 2009 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G16H 30/20 20180101;
H04L 67/06 20130101; G06F 16/5866 20190101; G06Q 10/107 20130101;
G16H 40/67 20180101; G06T 1/0007 20130101; G06F 16/116 20190101;
G06Q 50/22 20130101; G06F 16/51 20190101 |
International
Class: |
G16H 30/20 20060101
G16H030/20; G06F 16/51 20060101 G06F016/51; G06F 16/11 20060101
G06F016/11; G06F 16/58 20060101 G06F016/58; G06Q 10/10 20060101
G06Q010/10; G06Q 50/22 20060101 G06Q050/22; G16H 40/67 20060101
G16H040/67; G06T 1/00 20060101 G06T001/00; H04L 29/08 20060101
H04L029/08 |
Claims
1. A system comprising: at least one hardware processor; and one or
more software modules that are configured to, when executed by the
at least one hardware processor, for each of a plurality of medical
data files, receive the medical data file from one of a plurality
of operator devices, wherein the medical data file comprises
medical image data and a header, and wherein the header comprises a
plurality of fields, including one or more device-dependent fields,
identify the one operator device that sent the medical data file by
searching for the one or more device-dependent fields, in the
header of the medical data file, in previously recorded
device-dependent fields for the plurality of operator devices,
identify at least one recipient from the plurality of fields in the
header of the medical data file, convert the medical image data in
the medical data file into a separate and independent media file,
and send the media file to the at least one recipient over at least
one network.
2. The system of claim 1, wherein the one or more software modules
are further configured to, for each of the plurality of medical
data files: identify an output modality from the plurality of
fields in the header of the medical data file; and convert the
medical image data in the medical data file into a separate and
independent media file based on the output modality.
3. The system of claim 2, wherein the output modality indicates one
or more capabilities of a device of the at least one recipient.
4. The system of claim 2, wherein the output modality indicates
image dimensions to which the medical image data is to be scaled
during conversion.
5. The system of claim 2, wherein the output modality indicates an
optimal resolution to which the medical image data is to be
converted during conversion.
6. The system of claim 2, wherein the output modality indicates a
data rate or data amount.
7. The system of claim 1, wherein the at least one recipient
comprises an application programming interface of a web
application.
8. The system of claim 7, wherein the web application is a social
networking site.
9. The system of claim 1, further comprising software installed on
one or more of the plurality of operator devices that are
configured to capture the medical image data, and wherein the
software on each respective one of the one or more operator devices
is configured to, when executed by that respective operator device:
receive information that identifies the at least one recipient via
a user interface of the respective operator device; generate the
medical data file comprising the medical image data captured by the
respective operator device; add the information that identifies the
at least one recipient to the plurality of fields in the header of
the medical data file; and send the medical data file to a server
that comprises the at least one hardware processor and the one or
more software modules.
10. The system of claim 9, wherein each of the one or more operator
devices comprises an ultrasound machine, such that the medical
image data in the medical data files sent by the one or more
operator devices comprises ultrasound images.
11. The system of claim 1, wherein the one or more software modules
are further configured to remove patient-identifying information
from the medical data file prior to conversion.
12. The system of claim 1, wherein identifying the at least one
recipient comprises extracting an email address from the plurality
of fields in the header of the medical data file.
13. The system of claim 1, wherein identifying the at least one
recipient comprises extracting a network address from the plurality
of fields in the header of the medical data file.
14. The system of claim 1, wherein identifying the at least one
recipient comprises extracting a cellular phone number from the
plurality of fields in the header of the medical data file.
15. The system of claim 1, wherein the one or more software modules
are further configured to: extract a message from the plurality of
fields in the header of the medical data file; and send the message
to the at least one recipient, along with the media file.
16. The system of claim 15, wherein the one or more software
modules are further configured to format the message according to a
message template, prior to sending the message to the at least one
recipient.
17. The system of claim 1, wherein sending the media file to the at
least one recipient comprises selecting one of a plurality of
output gateways through which to send the media file.
18. The system of claim 17, wherein the plurality of output
gateways comprises a Simple Mail Transfer Protocol (SMTP) server
and a Multimedia Messaging Service (MMS) gateway.
19. A method comprising using at least one hardware processor to,
for each of a plurality of medical data files: receive the medical
data file from one of a plurality of operator devices, wherein the
medical data file comprises medical image data and a header, and
wherein the header comprises a plurality of fields, including one
or more device-dependent fields; identify the one operator device
that sent the medical data file by searching for the one or more
device-dependent fields, in the header of the medical data file, in
previously recorded device-dependent fields for the plurality of
operator devices; identify at least one recipient from the
plurality of fields in the header of the medical data file; convert
the medical image data in the medical data file into a separate and
independent media file; and send the media file to the at least one
recipient over at least one network.
20. A non-transitory computer-readable medium having instructions
stored thereon, wherein the instructions, when executed by a
processor, cause the processor to: receive the medical data file
from one of a plurality of operator devices, wherein the medical
data file comprises medical image data and a header, and wherein
the header comprises a plurality of fields, including one or more
device-dependent fields; identify the one operator device that sent
the medical data file by searching for the one or more
device-dependent fields, in the header of the medical data file, in
previously recorded device-dependent fields for the plurality of
operator devices; identify at least one recipient from the
plurality of fields in the header of the medical data file; convert
the medical image data in the medical data file into a separate and
independent media file; and send the media file to the at least one
recipient over at least one network.
Description
RELATED APPLICATIONS INFORMATION
[0001] This application is a continuation of U.S. patent
application Ser. No. 15/882,487, filed on Jan. 29, 2018, which is a
continuation of U.S. patent application Ser. No. 14/805,442, filed
on Jul. 21, 2015, which is a continuation of U.S. patent
application Ser. No. 12/904,867, filed on Oct. 14, 2010, which
claims priority to U.S. Provisional Patent App. No. 61/251,334,
filed on Oct. 14, 2009, which are all hereby incorporated herein by
reference in their entireties as if set forth in full.
BACKGROUND
1. Technical Field
[0002] The embodiments described herein are related to delivery of
medical image records, and more particularly to the automatic
conversion of medical image file for delivery to mobile devices
and/or remote communication systems.
2. Related Art
[0003] Medical diagnostic devices and medical imaging systems have
become increasingly complex in recent years. In response to the
increasing challenges in digital imaging technology, the American
College of Radiology (ACR) and the National Electrical
Manufacturers Association (NEMA) developed the Digital Imaging and
Communications in Medicine (DICOM) standard. DICOM is a standard
for handling, storing, printing, and transmitting information in
medical imaging. It includes a file format definition and a network
communication protocol. The network communication protocol is an
application protocol that uses TCP/IP to communicate between
systems. One of the goals of the standard is to make uniform the
transferring of medical images and information between viewing and
scanning sources to allow users of different imaging software
and/or hardware to share information. DICOM files can be exchanged
between two entities that are capable of receiving image and
patient data in DICOM format. DICOM enables the integration of
scanners, servers, workstations, printers, and network hardware
from multiple manufacturers into a Picture Archiving and
Communication System (PACS) for storing and downloading of digital
images. The different devices come with DICOM conformance
statements that clearly state the DICOM classes they support. DICOM
has been widely adopted by hospitals, and is gaining popularity in
smaller dentists' and doctors' offices.
[0004] DICOM files commonly contain images; therefore, they are
often referred to as DICOM images. But it will be understood that a
DICOM file does not necessarily need to include an image. Rather,
such a file can include measurements or report data. Thus, DICOM
files may contain media data, such as, video and audio data, or no
media data at all. In that case, DICOM files may contain only
metadata identifying the originating modality, the operator, or the
patient being examined. Modality here refers to any image
generating equipment in medical imaging, such as, Ultrasound (US),
Magnetic Resonance Imaging (MRI), Computed Tomography (CT),
Positron Emission Tomography (PET), radiographs, and the like.
[0005] The type of data and amount of data available in any one
DICOM image file varies. A DICOM file is generally structured using
data identifying Patient, Study, Series and Instance in that
hierarchical order. A Patient can be involved in a number of
Studies (cases), which in turn may contain a number of Series
(examination or visits), which in turn may contain a number of
Instances (files usually containing images). It means that a DICOM
file can be unambiguously identified and fitted into that
hierarchy. All DICOM files contain an identifier for the generating
modality. In other words, the identifier will reflect the equipment
or location in which the file was originated. The files also
contain timestamps pertaining to both the file itself (Instance)
and the Series. Using the timestamps and the originating
identifier, an image can be unambiguously identified using that
data without involving any identifiable patient information to
safeguard patient privacy issues. In addition, DICOM file format
differs from other data formats in that it groups information into
data sets. For example, a file of a chest X-Ray image actually
contains the patient ID within the file, so that the image can
never be separated from this information by mistake.
[0006] Most PACSs handle images from various medical imaging
instruments, including US, MRI, PET, CT, and the like. Electronic
images and reports are transmitted digitally via PACS; this
eliminates the need to manually file, retrieve or transport film
jackets. A PACS consists of four major components: the imaging
modalities, such as, CT and MM; a secured network for the
transmission of patient information; workstations for interpreting
and reviewing images; and long and short term archives for the
storage and retrieval of images and reports. Combined with
available and emerging Web technology, PACS has the ability to
deliver timely and efficient access to images, interpretations and
related data. PACS breaks down the physical and time barriers
associated with traditional film-based image retrieval,
distribution and display.
[0007] Medical imaging devices typically output digital image data.
The overwhelming majority, if not all, of such devices use the
DICOM standard for both image file format and network transfers.
These images are generally not readable by consumer image viewers
or mobile devices. Therefore, patients who wish to share their
medical images struggle with conversion and delivery of these
images. A good example is to share images from an Ultrasound
examination during a pregnancy. The future parents usually would
like to keep, share and display the images of their future child.
They might also conceivably want to send these images to their
friends' and relatives' cellular phones or email accounts. They
might even want to post them on a social network, or they might
just want to keep them in their personal digital "photo album". All
of these events would require them to either scan a printed
hard-copy of the image, or to find, purchase, install and learn to
use DICOM viewer software package with export capabilities. These
software packages are usually not readily available or they are not
economical for limited use.
[0008] It should also be noted that this issue is not necessarily
limited to DICOM files. In general, there is no real method for a
patient to view images related to their condition, treatment,
status, etc. Moreover, there are few, if any effective means by
which a doctor or clinician can quickly and remotely retrieve
images for diagnostic or other purposes.
[0009] In fact, many smaller medical practices, such as, small
clinics, doctors' offices, and dentists' offices also suffer from
an inability to convert, deliver, and receive medical images
economically and timely. These facilities usually do not have the
technical support-staff or finances to run a full PACS for image
archiving and delivery to remote expert doctors for second opinions
and consultations. They often resort to using films, or writable
CDs which are sent by mail or messenger. This is both slow,
environmentally unfriendly and, in the case of using unregistered
postal delivery, insecure. The cost of running a PACS is not just
paying the licensing fees. Major investments in advanced
infrastructure including the surrounding software, hardware, and
facility, as well as the cost for educating staff, and the hours
spent on administration will add to the cost of running a PACS.
These major investments are expensive, therefore, usually
out-of-reach for most small businesses.
SUMMARY
[0010] Systems and methods for the quick and easy distribution of
medical images to a plurality of output modalities in a manner that
maintains the highest possible image quality and resolution are
described herein.
[0011] According to one aspect, a system for automated conversion
and delivery of medical images, comprising: a communication
interface; a data storage system configured to store medical image
files, a list of modalities, a list of meta data fields associated
with each of the modalities, and expected content for at least some
of the meta data fields associated with each of the modalities; a
server coupled with the data storage system and the communication
interface, the server configured to: receive a medical image file
via the communications interface, the medical image file comprising
medical data and meta data, determine what fields are present in
the meta data, correlate the determined fields with a modality in
order to determine a modality associated with the medical image
file, determine whether the data recorded in the fields has been
altered, identify a recipient associated with the medical image
file based on the meta data, and transmit a message to the
recipient via the communication interface.
[0012] According to another aspect, a method for automated
conversion and delivery of medical images, comprising: storing
medical image files, a list of modalities, a list of meta data
fields associated with each of the modalities, and expected content
for at least some of the meta data fields associated with each of
the modalities; receiving a medical image file via a communications
interface, the medical image file comprising medical data and meta
data; determining what fields are present in the meta data;
correlating the determined fields with a modality in order to
determine a modality associated with the medical image file;
determining whether the data recorded in the fields has been
altered; identifying a recipient associated with the medical image
file based on the meta data; and transmitting a message to the
recipient via the communication interface.
[0013] These and other features, aspects, and embodiments are
described below in the section entitled "Detailed Description."
BRIEF DESCRIPTION OF THE DRAWINGS
[0014] Features, aspects, and embodiments are described in
conjunction with the attached drawings, in which:
[0015] FIG. 1 is a diagram illustrating an example system for the
automatic conversion and distribution of medical images to any of a
plurality of output modalities in accordance with one
embodiment;
[0016] FIG. 2 is a high level block diagram illustrating certain
components of an example data conversion and delivery system that
can be included in the system of FIG. 1 in accordance with one
embodiment;
[0017] FIG. 3 is a flow chart illustrating an example automated
message creation process performed by the data conversion and
delivery system of FIG. 2 in accordance with one embodiment;
[0018] FIG. 4 is a flow chart illustrating example type of
information and data that can be examined in the process of FIG. 3
in accordance with one embodiment;
[0019] FIG. 5 is a flow chart illustrating an example process for
the use of information embedded inside of the metadata included
with incoming files by the data conversion and delivery system of
FIG. 2 in accordance with one embodiment;
[0020] FIG. 6 is a flow chart that illustrates the operation of an
image converter module that can be included in the data conversion
and delivery system of FIG. 2;
[0021] FIG. 7 is a flow chart illustrating a typical use of a Web
GUI that can be included in the data conversion and delivery system
of FIG. 2 and its streamlined interface for finding an image by the
originating modality without any identifiable patient information
in accordance with one embodiment;
[0022] FIG. 8 is a flow chart illustrating a variation of the
typical use of the Web GUI and its streamlined interface for
finding an image by using a piece of identifiable patient data in
accordance with one embodiment; and
[0023] FIG. 9 is a diagram illustrating an example system for the
automatic conversion and distribution of medical images to any of a
plurality of output modalities in accordance with another
embodiment.
DETAILED DESCRIPTION
[0024] FIG. 1 is a diagram illustrating an example system 100 for
the automatic conversion and distribution of medical images to any
of a plurality of output modalities. The term output modality is
used to refer to various types of devices, systems, and services,
several examples of which are provided below. As can be seen,
system 100 can comprise a plurality of source medical imaging
modalities 10, such as Ultrasound, MRI, CT and PET equipment, a
local PACS 20 (typically source image archive-servers), or any
other device capable of sending medical data such as DICOM data,
commonly medical images. Modalities 10 and PACS 20 can be
connected, e.g., with a Central Computer System (CCS) 30 via the
Internet 60 through a router 50 usually provided with encryption
and firewall protection.
[0025] Central Computer System (CCS) 30 can include a data
conversion and delivery system (DCDS) 32 for processing the medical
data. The CCS can comprise one or more servers, and include one or
more a processors or CPUs, memory associated with the processor(s),
a data storage module, a display means, and an input/output
interface means. It should be appreciated that various other
peripheral devices and modules can be connected to the CCS, such as
other servers, other data storage modules, or intrusion detection
systems. The CCS can also be a cluster of interoperating servers,
each taking care of a specific task within the system. Similarly,
all the modules shown in FIG. 2, and described below can each be a
separate server in such a cluster, so as to distribute the load and
increase the capacity of the system.
[0026] DCDS 32 can be configured to convert medical images
associated with the medical data into, e.g., consumer-friendly
images, video, or both. DCDS 32 can then in turn send these
converted images to a number of destinations, or output modalities
40 as directed by the user/operator of DCDS 32 or as dictated by
information included in the medical data. These destinations 40 can
be, for example, a web site such as a social networking site
including, e.g., Twitter, Facebook, and Google Health; cellular
phones; PDAs; Email accounts; or any computer system capable of
accepting data via protocols such as, e.g., SOAP and REST. DCDS 32
functions in such a way that it allows source modalities (10, 20)
to be protected by the most rigorous of firewall settings 50, while
still allowing transfers to take place over the internet 60. The
original source image data may optionally be sent to the
destinations 40 without any processing or conversion.
[0027] For example, when a patient undergoes an ultrasound
examination during pregnancy, the ultrasound images can be sent to
DCDS 32 for conversion into a set of images that can be sent the
parent's social networking web page, their mobile device, their
friends and families devices or web pages, etc. More specifically,
a nice sequence of the fetus waving its arm can be captured and
stored during the ultrasound examination by the operator. The
ultrasound operator, usually a nurse or technician, sends the
stored, e.g., DICOM file to DCDS 32. The nurse, technician or any
trusted employee at the patient's facility (user) can use a remote
graphical user interface (GUI) interfaced with DCDS 32 to bring up
the desired sequence sent by the source modality 10. The user can
then enter the cellular phone numbers, web account information,
email addresses, etc., as well as any personal message that the
patient indicates, and then start the delivery process. The, e.g.,
DICOM file, now converted into a cellular phone compatible video
format, e.g., 3gpp, can then be sent as a multimedia message to the
mobile phones, and files converted to other appropriate formats can
also be sent to the given email and web accounts.
[0028] Alternatively, the nurse or technician at the patient's
facility can enter the patient's cellular phone number in the
patient information field on the ultrasound machine. On receiving
the, e.g., DICOM data file, DCDS 32 can be configured to then
locate that number embedded in the DICOM data file, and
automatically forward the converted image or video file after
processing to the desired locations as specified by the patient.
Examples of these processes are described in detail below.
[0029] FIG. 2 is a high level block diagram illustrating certain
components of an example DCDS 32 in accordance with one embodiment.
It will be understood that the diagram of FIG. 2 is for purposes of
explanation and illustration and is not intended to restrict the
embodiments described herein to any particular architecture or
design. Nor is FIG. 2 intended to provide a detail view of all
components of an example DCDS 32. In operation, a request from a
modality 10 can be handled by an input stage, consisting of a
Receiver 203 and Storage & Parser 204. The Receiver 203 can be
configured to authenticate the connection from the source modality
10, and to handle the network transactions necessary to complete
the request.
[0030] Storage & Parser 204 can be configured to parse the
received data and to store any image data 205 and all metadata 206
in storage system 214. For example, the image data 205 can be
stored as binary data, while the metadata can be stored as
structured data allowing typical structured access to the data,
such as, searches and associations between different items. Storage
& Parser 204 can be configured in certain implementations or
under certain conditions to strip all sensitive patient information
from the incoming data file. For example, an operator of the system
can use a Graphical User Interface (GUI), such as a Web GUI 208 to
selectively set the parts of metadata that are considered to be
sensitive. Alternatively, the system can be programmed to
automatically determine which fields in the meta data are
sensitive. This process is called anonymization, and it is
performed in order to protect the patient's privacy. Anonymization
is discussed in more detail below.
[0031] In certain embodiments, an event signal can be triggered
indicating that the newly stored data has been added. When Event
System module 209 receives an event signal from the parser 204, it
can be configured to determine what action, if any, should be taken
as a result. For example, if rules for automatic delivery have been
set, and the appropriate metadata values are found in the newly
received data stored in structured database 206, then Event System
module 209 can be configured to signal the Output Module 213 to
send the converted data as instructed by the automatic delivery
rules. This process is also described in more detail below.
[0032] Output Module 213 can be configured to accept calls from
other parts of DCDS 32 containing general data, information to
send, and number of delivery destinations, including email
addresses. For example, the data can include a text message, a
reference to a, e.g., DICOM image, two cellular phone numbers, and
one email address. The Output Module 213 can be configured to
assemble the appropriate formatted output "packages", or messages,
and send the resulting messages using a modular plug-in-based
architecture. A plug-in (not shown) for each corresponding type of
destination can be included and used by Output Module 213.
[0033] In the example provided above, when a service call is
received by DCDS 32, Output Module 213 can assemble one MMS message
packet containing a jpeg version of an image and message text, all
combined and encoded according to the MMS specifications. This
message can then be sent twice, first to each phone number
destinations requested, and secondly, to each email address
destinations specified.
[0034] Output Module 213 can request a converted image from Image
Converter 211, identifying the original image and specifying the
requested format and dimensions. Image Converter 211 can be
configured to then look for an existing image in the Converted
Image Cache 212 that matches the request. If no match is found, it
can generate an image from the original image data 205. The Image
Converter 211 can be configured to use the metadata 206 of the
original image stored in database to determine if the requested
format is appropriate. If not, it can respond with an error. For
example, requesting an mp3 audio version of a still image would
result in an error, while requesting a jpeg still image of a
multi-frame DICOM image file (effectively video) would be
proper.
[0035] Image Converter 211 can be configured to respond to an event
from Parser 204 and perform common conversions preemptively. This
will improve the responsiveness of the system components, in
particular, the Output Module 213 and the Web GUI 208; however, the
trade-off is an increase in storage required, and also a slight
decrease in the overall security level.
[0036] A Web GUI 208 provides, e.g., medical staff with remote
access to DCDS 32 via a secured web browser connection (https) 202.
Such a Web GUI 208 can provide an interface to perform
administrative tasks such as setting up rules for Event System
module 209, as well as an optimized interface for identifying
images and sending output messages. The typical operations of these
interfaces are described in detail below.
[0037] Web GUI 208 can operate on the structured metadata 206 to
find and identify images. It can be configured to request
conversions from Image Converter 211 to, e.g., display thumbnails
and previews of images, and to provide service request forms where
output messages can be specified and send on to Output Module 213
for delivery.
[0038] An adaptable Garbage Collector 207 can continually evaluate
the state of all data and compare that to configurations made by an
administrator of the system. The configuration can set certain
criteria that items need to meet in order to remain in the system
or be deleted from the system. One basic criterion can be the age
of an item. For example, if an item has been stored over a week ago
or certain number of days ago could be automatically deleted. Other
automatic deletion criteria can be the number of times an item has
been previously sent, system state information stored, and the
value of any metadata. This feature is in part useful for keeping
the resource usage down, and also to aid patient confidentiality by
removing patent data that the system is no longer needed to
maintain.
[0039] It should be noted that in some embodiments the images are
to be used for clinical or diagnostic purposes. In such instances,
it is often required that the image that is ultimately displayed on
the device used for viewing the images maintain a certain
resolution or image quality. As such, in certain embodiments, one
or more of Parser 204, Event System module 209, and Image Converter
211 can be configured, either alone or in combination, to recognize
that the image is being viewed in a diagnostic or clinical
application. Such recognition can be based on information included
in the meta data, information stored in Image System 214, or
information provided via GUI 208.
[0040] For example, the address or device identified in the meta
data for receiving the image can be recognizable as an address or
device associated with a clinical or diagnostic application, the
image or series identifier can also be associated with a clinical
or diagnostic application, etc. Alternatively, an operator can
indicate through GUI 208 that images to be sent are intended for
clinical or diagnostic purposes.
[0041] When it is determined that the images are to be used for
clinical or diagnostic purposes, then Image Converter 211 can be
configured to determine, e.g., based on information stored in
storage system 214, the required resolution or image quality. For
example, resolution, image quality, or both for various types of
images, clinical applications, etc., can be stored in storage
system 214. Image converter can then determine the correct image
resolution and quality and covert the image in accordance
therewith. In certain embodiments, DCDS 32 can be configured to
determine whether the identified output device or address is
capable of displaying the converted image with the requisite image
resolution and quality before sending the image. If the device or
address is not capable, then DCDS can generate an error message or
other notification indicating such. The error message can be
displayed through GUI 208, on the device, or both.
[0042] As noted above, DCDS 32 can be configured to take an
incoming medical image file and automatically convert it for
distribution to and viewing by any of a plurality of output
modalities. FIG. 3 is a flow chart illustrating one example
embodiment for an automated message creation operation performed by
DCDS 32 in accordance with one embodiment. In the example of FIG.
3, it is assumed that destination information, e.g., output
modality information is included in a medical image file received
by DCDS 32. In other embodiments, a user can access DCDS 32, e.g.,
through GUI 208 and specify which files should be sent to which
output modalities; however, a powerful aspect of DCDS 32, as
configured in accordance with the systems and methods described
herein, is its ability to automatically determine the destinations
and to convert and format the data appropriately as described
below.
[0043] In step 320, a file is received and the headers associated
therewith are examined to determine various information. The
medical image file received by input 203 will often include
metadata that provides information related to the medical data or
images included therewith. For example, in a DICOM file, the
medical image file will include a header that comprises a plurality
of fields. These fields are generally the same for each input
modality 10. Thus, DCDS 32 can be configured to examine the header
fields to determine various information as described in detail
below and with respect to FIG. 4.
[0044] In step 322, an output destination type, or modality can be
determined. For example, the header can include information
identifying recipients of the images included in the image file. Or
more specifically, the header can include information identifying
output modalities associated with various recipients or services,
e.g., such as an online photo album page, site, or service; a
social networking page or service, a mobile device, etc. Basic
types of destinations can include a mobile device, such as a
cellphone; an email account; a Web-Application Specific Interface
(API), e.g., associated with an online site or service, etc. Thus,
DCDS 32 can be configured to examine the header file and determine
associated output devices or services, i.e., modalities.
[0045] Whenever possible, DCDS 32 can be configured to then
retrieve specific characteristics of each destination type as
indicated in step 324. These characteristics can include
capabilities and physical characteristics of the destination device
and specifications and limitations of the network class and message
type. This information is then used to determine the output
formatting and other specifications needed for each output
modality. For example, this information can be used for adaptations
of the image data based on specifications for the type of message
being sent, e.g., e-mail has limitations in specification and
common practice that can be adapted for; and MMS has very different
limitations that can be adapt for.
[0046] The capabilities and characteristics determined in step 324
can include frame size, i.e., pixel dimensions of an image or
video, e.g., 640 by 480 and the like; data rate or data size, e.g.,
MMS messages can commonly not exceed 300 KB total size, e-mail
attachments exceeding 10 MB are often not accepted, etc.; supported
encoding format, e.g. mpeg 4, jpeg, etc.; and message layout rules,
i.e., how a message can be composed for the destination, e.g. MMS
is made of "pages", each able to display a single image or video
and a single text along with playing audio while e-mail is capable
of HTML layouts and can hold attachments of any file type, etc.
[0047] In step 326, a basic compatibility check can be performed to
determine whether the data included in the image file can be
delivered in a format compatible with the output modality. For
example, if the image data includes video data, then a
determination can be made as to whether the output modality is
capable of receiving and displaying video data.
[0048] The most suitable delivery format is then chosen in step 328
to ensure the output message that is ultimately generated includes
the best quality data that the output modality can handle. This can
be important for example in clinical settings or settings where the
data is being used for examination or diagnostic purposes.
Resolution information suitable for diagnostic purposes and the
ability of DCDS 32 to provide such resolution is discussed in
detail below.
[0049] Then, in step 330 the data can be extracted and converted as
required. For example, MMS messages allow only a very limited total
message size. Therefore images or video in particular often need to
be adapted and optimized to let the final message meet the format
and specification requirements of a particular output modality. In
contrast, e-mail messages often have no strict limit on size and
therefore can accept larger files, e.g., higher resolution images
or video. But even e-mail accounts can include rules limiting
extremely large files and therefore even e-mail messages can
require optimization of, e.g., video files to ensure sufficient
quality but also to comply with size limitations.
[0050] If the incoming file is already encoded in a format
compatible with the output modality, then often no conversion will
occur in step 330 in order to preserve the highest possible image
quality.
[0051] In step 332, the data can be anonymized as required by any
applicable anonymization rules. For example, the data can be
extracted and copied into a generic format so that certain data can
be removed, redacted, etc. The data can then be converted to the
final output format. Steps 330 and 332 can be performed in parallel
or reverse order as required by a particular implementation.
[0052] In step 334, the converted data can then be assembled into
an output message in accordance with the applicable formats and
specifications determined in the preceding steps. Optionally, other
data can be included with the message. This information can be
manually entered, e.g., via GUI 208 or it can be extracted from the
metadata accompanying the received file. Still further, the data
can be data retrieved from configuration settings based on the set
of characteristics described above.
[0053] In certain embodiments, the data components that are to
comprise an output message are assembled according to template
rules for the type of message being created. For example, the
various template rules can be stored in Storage System 214 and
accessed by Output Module 213 in order to assemble the output
message. For example, MMS messages are based on a page metaphor
where each page can contain an image or video, a text element, and
an audio element. Thus, sending two or more images, or including
text, audio, or both with the image(s) will then require the
message to be assembled into several pages. By contrast, e-mail
messages can include any number of images, attachments, etc.,
depending on, e.g., the message size restrictions.
[0054] Output Module 213 can then be configured to elect the
appropriate output gateway for transmission of the assembled output
message in step 336. For example, Output Module 213 can be
configured to send an e-mail message to a SMTP server (not shown)
and to send an MMS message to a MMS gateway (not shown).
[0055] FIG. 4 is a flow chart illustrating example type of
information and data that can be examined in step 320. As can be
seen in FIG. 4, when the file comes in, the metadata or more
specifically the header can be examined to identify the input
modality in step 420. In step 422, the compatibility of the
modality determined in step 420 with the system can be determined.
If compatible, then in step 424, specific characteristics of the
data included in the image file can be determined. For example,
whether or not the file actually includes any image or video data
or whether the data is simply report or measurement can be
determined in step 424. When an incoming file does include, e.g.,
report or measurement data, then such information can be extracted
and stored in, e.g., a generic structured format in step 426. In
step 428, any image data can then be extracted and stored as well
and various characteristics can be determined such as binary
encoding format, frame size, color bit depth, still image or video,
etc.
[0056] FIG. 5 is a flow chart illustrating an example process for
the use of information embedded inside of the metadata including
with incoming files by DCDS 32 in accordance with one embodiment.
The metadata, e.g., header fields can be used to ensure safe and
secure delivery of the image data included therewith. For example,
a DICOM image file can include a plurality of header fields that
are key-value pairs in a number of datatypes, such as strings,
numbers, dates, special measurement types, etc. Fields can be
embedded in the and can be hard linked to the file for which the
provide metadata. In this way, there is no way to mix-up header
files and the associated data, since they are not separated.
[0057] In step 520, DCDS 32 can be configured to automatically
track and record header fields for each network device sending
images. In this way, DCDS 32 can identify the specific device
associated with an incoming file. DCDS 32 can do this by recording
which header fields are present for a particular modality 10 in
step 522 and to then record the data included in device-dependent
header fields for the associated modality in step 524. A particular
device should always report the same values for, e.g.,
manufacturer, model name, model number, etc. Thus, DCDS 32 can use
this information to identify a particular device.
[0058] In step 526, DCDS can detect any changes in the data and
then take appropriate action. For example, changes to header field
data that should not be changed, e.g., manufacturer information,
can be an indication that the file has been tampered with or
someone is trying to hack into the system. In response to detection
of such changes, the system can log the event, notify an operator,
place the incoming data in an approval queue, quarantine the data
or any further data from the associated device, reject the data,
rejecting the all future data from the device, to name just a few
possible actions.
[0059] In step 528, DCDS can be configured to search the header
fields for data that can identify an intended recipient as noted
above. Identification can be in the form of an actual, e.g., e-mail
address, mobile station International Subscriber Directory Number
(ISDN), web site address, etc. In fact, such direct identification
can be preferable as it takes advantage of the existence of the
header fields. Identification can also be indirect such as an ID
that can be used to look up a direct address, e.g., in a registry
stored in storage system 214. It should also be noted that each
field can include more than one piece of data and data of different
types. Accordingly, any identifying or address fields can include
telephone numbers as well as e-mail address, etc. Further,
identifying data can be included in more than one field.
[0060] The DCDS 32 can be configured to then determine an action to
take in step 528 based on any identifying data detected in step
530. Such actions can include sending an appropriate message to any
addresses found, formatting messages appropriately as described
above, notifying an operator, adding a message to a queue, e.g.,
for manual approval, locating and adding other data or information
to an outgoing message, to name just a few.
[0061] Accordingly, FIG. 6 is a flow chart that illustrates the
operation of DCDS 32 in more detail. Referring to FIG. 6, a
Conversion Request 301 can be received containing, at a minimum, an
internal identifier for the image, and a destination format. As
noted above, the conversion request can be the result of
information and data included in the metadata associated with an
incoming file. As noted below, however, the request can also result
from input received through GUI 208. Optionally, the request could
contain new image dimensions to be scaled as output image to be
sent. The Image Converter 211 can be configured to then determine
the existence of the requested image 304 by trying to locate the
metadata associated with it in metadata database 303. If no record
exists for the requested image, the converter can optionally return
a placeholder image (305, 308) or abort the conversion attempt 306.
A placeholder is typically an image, video or similar media
communicating that the requested image is unavailable. At this
point, the converter also can also be configured to determine if
the requested output format is feasible or not.
[0062] If a metadata record in database 303 does exist, then the
converter can be configured to load the, e.g., DICOM image 307 from
image storage 302 into a raw binary format. The Converter 211 can
be configured to then determine if the image data should be resized
to the dimensions provided in the request or to the dimensions
required by the requested output format. For example a jpeg preview
for the Web GUI 208 could be rendered in any dimensions that are
suitable to the layout of the html document, while video for MMS
messages have very specific dimensions to comply with the
specification.
[0063] Next, the image data can be converted 311 to the requested
destination format. The results can be saved to an image cache 312
and metadata records can be updated 313 to indicate the existence
of the converted image. Finally, the converted images can be
returned as a response to the request. Converter 211 can then
return either the converted binary data directly or return a
reference to its location in the image cache 313.
[0064] As noted, DCDS 32 can also be operated and interfaced with
through the Web GUI 208. GUI 208 can enable both remote and local
access the DCDS 32 and allows for images to be located within
storage system 208. The images may need to be located or analysis
or diagnosis or for sending to a specified destination or
address.
[0065] Two primary ways for accessing files can be provided. The
first way involves finding files without any identifying
information. This is explained in detail with respect to FIG. 7;
however, it should first be noted that each device sending files to
DCDS 32 can be identified by recording and mapping header fields of
incoming file transfers. The devices can also be at least partially
identified based on their network address, AE titles used for the
transfer, or both. Each device can then be given a name that is
unique and preferable meaningful to operators. Files as well as
their series, study, or both, can then be identified by the device
they originated from, the time and date of the image capture, and
header fields identifying the operator of the device used to
capture the images.
[0066] Since no patient information is needed, DCDS 32 can handle
anonymized data and no patient information can be gathered by the
misuse of the system. Further, the most used images can be stored
as the most recent images in the system. Thus, finding images can
be made very efficient in this manner. Once the file, series,
study, etc., had been found, GUI 208 can offer the operator direct
access to features for viewing the images, sending the images,
etc.
[0067] With this in mind, FIG. 7 is a flow chart illustrating a
typical use of the Web GUI 208 and its streamlined interface for
finding an image by the originating modality without any
identifiable patient information (401-404) in accordance with one
embodiment. When an image has been identified (405,) the interface
displays a service request form where the user enters output
destination information and other message details. If the data
validates (407,) the required conversions are requested (408) from
the Image Converter (211.) For all successful requests, the data is
assembled by the appropriate output plug-ins (409-411,) and the
results are sent (412-414) to the appropriate destinations. Status
information for each individual output is gathered (415,) and
returned (416 or 417) to the form view (405) for display. At this
point, the user can choose to repeat the send process or return to
finding another image.
[0068] The Web GUI 208 allows for sending groups of images that
belong to the same, e.g., DICOM Series. The operating steps are
similar to those illustrated by FIGS. 7 and 8. The Web GUI 208 also
present interfaces for configuring the Event System 209, organizing
and storing output destination addresses and other administrative
tasks necessary. It is important to note that, as a security
measure, the Web GUI 208 does not handle any authorization of
source modalities allowed to store images or access privileges to
those images. These important settings are only available through a
separate method of access either locally or remotely. With the DCDS
running on a Unix-style operating system, remote access would
typically be via the Secure Shell (SSH) protocol. If the DCDS is
running on a Windows operating system, remote access would
typically be via Terminal Services. Both protocols are examples of
secured remote access to the operating system.
[0069] The second way to access files is to use identifying
information. For example, operators can search for files using
patient information such as name, birth date, patient ID, etc. The
operator can, for example, input a search term and if there is a
match, the system can present all available studies. If multiple
patients are returned, then they can be presented for selection.
Once the patient is selected, and the associated file, series,
study, etc., had been found, GUI 208 can offer the operator direct
access to features for viewing the images, sending the images,
etc.
[0070] FIG. 8 is a flow chart illustrating a variation of the
typical use of the Web GUI 208 and its streamlined interface for
finding an image by using a piece of identifiable patient data
(501-504,) such as, patient name, and birth-date, etc.
Alternatively, any unrelated identifying password or PIN code can
be utilized to avoid using real patient information to ensure
patient privacy. After that, the processing steps as described
above related to FIG. 7 can be followed.
[0071] In certain embodiments, CCS 30 can be interfaced with a
server 902 that can be configured to host and support various value
added services for, e.g., patients and family in relation to the
images being captured by modalities 10 as illustrated in FIG. 9.
For example, if the images are fetal ultrasound images, the server
902 can be configured to provide a variety of services for the
parents, family, friends, etc. For example, the DCDS 32 can be
configured to convert the images to a proper format or formats
supported by server 902 and the related services. The images can be
sent to server 902 and stored in storage system 904.
[0072] It will be understood that server 902 can actually comprise
a plurality of servers, computers, routers, etc., as well as the
appropriate software and firmware required to carry out the
functions described herein. Further, storage system 904 can
comprise one or more databases, one or more storage servers, as
well as other physical storage mediums as required.
[0073] Server 902 can then be configured for example, to host a web
site on which users can create accounts. The users can then access
the images on the site and purchase images, pregnancy calendars,
customized mugs, key chains, T-shirts, canvases, etc. Further, the
site can be configure to present pictures, illustrations,
information on fetus and child development, health and nutrition
tips, etc. Such a site can enable such services as a registry,
e.g., for a baby shower; automatic updates to friends and family;
digital and viral gifts, such as baby images with digital
lullabies; invites and thank you cards; etc.
[0074] A user can be charged a fee for setting up an account, e.g.,
a subscription fee, either one time or periodic, the user and
family and friends can also be charged for the various products and
services, or both.
[0075] In addition, kiosks 908 can be set up, e.g., in maternity
wards that can provide at least some of the same services. Kiosk
908 can either be stand alone, i.e., interfaced directly with CCS
30, or can be interfaced with server 902 as illustrated. Thus,
family and friends can order pictures and other goods, e.g., right
in the waiting room.
[0076] Further, the user can continue to use the account even after
the birth of the child. For example, the site can track the child
throughout its child hood, or at least through the first few months
or years. The site can be configured to send birthday reminders and
announcements to friends and family or to inform of other special
events, developmental milestones, etc. Moreover, the site can be
configured to continue to present developmental information as well
as health and nutrition tips for both mother and child.
[0077] In fact, it can be preferable to have the parent upload
contact information for friends and family. In this manner, server
902 can be configured to continue to send birthday reminders to
friends and family. In certain embodiments, the site hosted by
server 902 can be affiliated with or host a "gift store" offering
various products and services. Alternatively, or in addition, the
site can offer discounts, coupons, etc., to various other business
and stores. Since server 902 will have pertinent demographic
information related to the child, e.g., residence information, sex,
age, race, and possibly even parents age, profession, and other
affiliations, the site can send reminders, gift recommendations,
discount offers, etc., that are appropriate for the child and the
family, popular with similar demographics, etc.
[0078] In this regard, it can be preferable to offer the user the
opportunity to provide such demographic information. Thus, in one
embodiment, the user can access the site and customize or provide
profile information, contacts, preferences, etc. Algorithms running
on server 902 can be configured to then use the information
available to make product recommendations, etc. In fact, since
server 902 will have information for individuals all over the
world, the algorithms can be configured to use information for
populations that share similar demographics, income levels,
preferences, etc., to make recommendations.
[0079] In certain embodiments, a user can purchase items through
the site, i.e., through server 902. For example, server 902 can be
configured to accept credit card payment, a PayPal account, or for
mobile billing. Thus, server 902 can be configured to process the
transaction and either deduct an appropriate fee or charge a
related business, affiliate, partner, etc., a transaction fee.
Moreover, purchase information can also be fed into the algorithms
and used to make future recommendations. In fact, the purchases of
an entire related population can be used to make more targeted and
appropriate recommendations.
[0080] Thus, as a child grows, the algorithms can be constantly
updated and honed in order to make, e.g., gift recommendations.
Recommendations that can be automatically sent out to friends and
family over the years. As the database grows over time and with
more and more users, the algorithms can be honed to provide ever
more relevant and targeted recommendations.
[0081] It should also be noted that the database will necessarily
include vast information about the relationships and connections
between a large population. This includes direct links such as
friends and family, but also more indirect links such as
preferences, similar buying habits, etc. This type of
interconnection information can be very valuable for targeted
advertising and product recommendations as well as for simply
tracking and mapping the interconnectedness of a large
population.
[0082] It should be pointed out that such a site can be built
around other conditions or events, such as a cancer support site,
physical therapy support site, etc. It should also be pointed out
that the merging of interconnectedness data for these various other
conditions and events can extend the power of the information and
lead to even better algorithms for targeting information and
products and services.
[0083] It should also be noted that users can access the site via,
e.g., the Internet using computers 914 and mobile devices 912.
Further, the site can be interfaced with other social networking
sites such as Twitter, Facebook, etc. In certain embodiments, the
site can actually be converted to an application, or widget that
can be exported to other sites. For example, a grandma can place
the application on her Facebook page and receive updates and
notices more easily without needing to log onto server 902. This
can increase the interaction with the site, which can increase, for
example, the amount of information and data available to server 902
as input to the algorithms described above.
[0084] While certain embodiments have been described above, it will
be understood that the embodiments described are by way of example
only. Accordingly, the systems and methods described herein should
not be limited based on the described embodiments. Rather, the
systems and methods described herein should only be limited in
light of the claims that follow when taken in conjunction with the
above description and accompanying drawings.
* * * * *