Selective processing of medical images

• US 9,386,084 B1
• Filed: 04/15/2015
• Issued: 07/05/2016
• Est. Priority Date: 09/28/2009
• Status: Active Grant

• Current Assignee: Merative US LP
• Original Assignee: DR Systems Incorporated (International Business Machines Corporation)
• Inventors: Reicher, Murray A., Fram, Evan K.
• Primary Examiner(s): Ansari, Tahmina
• Application Number:
  US14/687,853
• Time in Patent Office: 447 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: A61B 2576/00 Medical imaging apparatus involving image processing or analysis A61B1/00009, A61B6/52 and A61B8/52 take precedence; image processing per se G06T; details of algorithms for analysing medical images G06T7/0012
• CPC Class Codes: A61B 5/7271 Specific aspects of physiological measurement analysis A61B5/316, A61B5/349 and A61B5/374 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06F 18/24 Classification techniques
• CPC Class Codes: G06F 2101/00 Indexing scheme relating to the type of digital function generated
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 15/005 General purpose rendering architectures
• CPC Class Codes: G06T 15/08 Volume rendering
• CPC Class Codes: G06T 19/00 Manipulating 3D models or images for computer graphics
• CPC Class Codes: G06T 2200/04 involving 3D image data
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 2210/41 Medical
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06V 2201/03 Recognition of patterns in medical or anatomical images
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/02 : based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/10 : in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04N 19/70 : characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

Systems and methods that allow transfer criteria to be defined based on one or more of several attributes, such as a particular user, site, or device, as well as whether individual images and/or image series are classified as thin slices, and applied to medical images in order to determine which images are downloaded, viewed, stored, and/or any number of other actions that might be performed with respect to particular images.

Claims

1. A method of selecting medical images of an image series for transfer, the method comprising:

by a computing device executing software, performing operations comprising;

accessing a plurality of transfer criteria associated with a first computing device, the plurality of transfer criteria including;

first transfer criteria associated with a first value of an image series attribute, wherein the first transfer criteria indicate a first maximum image slice thickness, and

second transfer criteria associated with a second value of the image series attribute, wherein the second transfer criteria indicate a second maximum image slice thickness that is different from the first maximum image slice thickness;

receiving a first request to access a first image series having the first value of the image series attribute;

applying the first transfer criteria to the first image series by;

selecting a group of medical images of the first image series, wherein each medical image of the group of medical images of the first image series has an image slice thickness less than the first maximum image slice thickness; and

initiating transfer of the group of medical images of the first image series to the first computing device, wherein medical images of the first image series that are not in the group of medical images of the first image series are not transferred to the first computing device;

receiving a second request to access a second image series having the second value of the image series attribute; and

applying the second transfer criteria to the second image series by;

selecting a group of medical images of the second image series, wherein each medical image of the group of medical images of the second image series has an image slice thickness less than the second maximum image slice thickness; and

initiating transfer of the group of medical images of the second image series to the first computing device, wherein medical images of the second image series that are not in the group of medical images of the second image series are not transferred to the first computing device.

2. The method of claim 1, wherein the plurality of transfer criteria include rules for transferring medical images to the first computing device based on one or more of a bandwidth associated with the first computing device, one or more characteristics of a viewer, one or more characteristics of a site of the first computing device, one or more characteristics of a connection with the first computing device, or one or more characteristics of a medical exam associated with the image series.

3. The method of claim 1, wherein the first transfer criteria indicate that medical images of the group of medical images of the first image series are not displayed on the computing device by default.

4. The method of claim 3, wherein the first transfer criteria indicate one or more criteria to override the default and display the group of medical images of the first image series on the computing device.

5. The method of claim 1, further comprising:

accessing a second plurality of transfer criteria associated with a second computing device, the second plurality of transfer criteria including;

third transfer criteria associated with the first value of the image series attribute, wherein the third transfer criteria indicate a third maximum image slice thickness, and

fourth transfer criteria associated with the second value of the image series attribute, wherein the fourth transfer criteria indicate a fourth maximum image slice thickness that is different from the third maximum image slice thickness;

receiving a third request to access the first image series having the first value of the image series attribute;

applying the third transfer criteria to the first image series by;

selecting a second group of medical images of the first image series, wherein each medical image of the second group of medical images of the first image series has an image slice thickness less than the third maximum image slice thickness; and

initiating transfer of the second group of medical images of the first image series to the second computing device, wherein medical images of the first image series that are not in the second group of medical images of the first image series are not transferred to the second computing device;

receiving a fourth request to access the second image series having the second value of the image series attribute;

applying the fourth transfer criteria to the second image series by;

selecting a second group of medical images of the second image series, wherein each medical image of the second group of medical images of the second image series has an image slice thickness less than the fourth maximum image slice thickness; and

initiating transfer of the second group of medical images of the second image series to the second computing device, wherein medical images of the second image series that are not in the second group of medical images of the second image series are not transferred to the second computing device.

6. The method of claim 5, wherein the third transfer criteria further indicate a maximum quantity of medical images of the first image series that may be transferred.

7. The method of claim 5, wherein the fourth transfer criteria further indicate a maximum quantity of medical images of the second image series that may be transferred.

8. The method of claim 1, further comprising:

selecting for access the first and second transfer criteria based on an association of the first and second transfer criteria with a user of the first computing device.

9. The method of claim 1, further comprising:

selecting for access the first and second transfer criteria based on an association of the first and second transfer criteria with a site associated with the first computing device.

10. The method of claim 1, wherein the plurality of transfer criteria are selected on a per-user and a per-site basis, wherein conflicts in transfer criteria associated with a particular user and the transfer criteria associated with a particular site are resolved based on a predetermined hierarchy of user specific and site specific transfer criteria.

11. The method of claim 1, wherein initiating transfer the group of medical images of the first image series and initiating transfer of the group of medical images of the second image series are performed by the first computing device.

12. The method of claim 1, wherein initiating transfer of the group of medical images of the first image series and initiating transfer of the group of medical images of the second image series are performed by a second computing device that has local access to the medical images of the first and second image series.

17. The method of claim 1, wherein the image series attribute is associated with at least one of:

a modality, a series type, an exam type, a clinical indication, a DICOM header attribute, a series description, a reconstruction algorithm, or a computer aided diagnosis.

19. The method of claim 1, wherein the image series attribute is a modality attribute and values of the image series attribute for respective image series indicate respective modalities of the image series.

13. A method comprising:

by a computing device comprising hardware, performing operations comprising;

accessing first transfer criteria associated with a first value of an image series attribute, wherein the first transfer criteria indicate a first maximum image slice thickness;

accessing second transfer criteria associated with a second value of an image series attribute, wherein the second transfer criteria indicate a second maximum image slice thickness;

selecting a first thin slice series of medical images that are associated with the first value of the image series attribute and that satisfy the first transfer criteria including the first maximum image slice thickness;

selecting a first non-thin slice series of medical images that are associated with the first value of the image series attribute and that do not satisfy the first transfer criteria;

selecting a second thin slice series of medical images that are associated with the second value of the image series attribute and that satisfy the second transfer criteria including the second maximum image slice thickness;

selecting a second non-thin slice series of medical images that are associated with the second value of the image series attribute and that do not satisfy the second transfer criteria;

transferring or displaying the first thin slice series in a different manner than the first non-thin slice series, such that the medical images of the first non-thin slice series are at least one of;

selectively not transferred, selectively transferred with lower priority, selectively transferred but not displayed, or selectively transferred but otherwise displayed or processed in a selectively different manner; and

transferring or displaying the second thin slice series in a different manner than the second non-thin slice series, such that the medical images of the second non-thin slice series are at least one of;

selectively not transferred, selectively transferred with lower priority, selectively transferred but not displayed, or selectively transferred but otherwise displayed or processed in a selectively different manner.

14. The method of claim 13, wherein the first transfer criteria further include a maximum quantity of medical images in an image series for classification of the image series as a thin slice series.

15. The method of claim 13, wherein said transferring or displaying the first thin slice series in a different manner comprises, in response to a user preference, automatically displaying images of the first thin slice series in 3D renderings.

16. The method of claim 13, wherein said transferring or displaying the first thin slice series in a different manner comprises, in response to a user preference, automatically displaying images of the first thin slice series with reconstructions in multiple planes.

18. The method of claim 13, wherein the image series attribute includes at least one of:

a modality, a series type, an exam type, a clinical indication, a DICOM header attribute, a series description, a reconstruction algorithm, or a computer aided diagnosis.