Image data management systems

• US 8,625,866 B2
• Filed: 07/24/2009
• Issued: 01/07/2014
• Est. Priority Date: 07/25/2008
• Status: Active Grant

• Current Assignee: IXICO Technologies Limited (IXICO Plc)
• Original Assignee: IXICO Ltd. (IXICO Plc)
• Inventors: Hill, Derek Lionel Glendon, McLeish, Kate, Hajnal, Joseph Vilmos, Jamil, Shahid, Austin, Mark Robert
• Primary Examiner(s): Akhavannik, Hadi
• Assistant Examiner(s): RASHIDIAN, MOHAMMAD M
• Application Number:
  US13/055,838
• Publication Number:
  US 20110188718A1
• Time in Patent Office: 1,628 Days
• Field of Search: 382/100, 382128-134, 382/173, 382/181, 382/190, 382/276, 382/294, 382/305, 382/307, 378/38, 378/62, 378/168, 378/192, 370/392, 370/26, 128/922, 600/300, 600/410, 600/420, 600/407, 600/509, 601/162, 701/1, 702/19, 705 2- 4, 707/687, 707/690, 707/705, 707769-771, 707/802, 709/247, 715/234, 715/733, 726/26
• US Class Current: 382/128
• 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

Abstract

A system for admitting medical imaging data comprising image data and associated metadata comprises input means arranged to received image data from at least one source, a memory having stored therein consistency data defining at least one consistency criterion, and processing means arranged to analyze the imaging data to determined whether it meets the consistency criterion, and if it does not to amend the imaging data so that it does.

Claims

1. A system for admitting medical imaging data including image data and associated metadata, the system comprising input means arranged to receive image data from at least one source, a memory having stored therein consistency data defining at least one consistency criterion wherein the consistency data includes reference data and the consistency criterion is a degree of consistency between the imaging data and the reference data, the reference data comprising at least one of reference image data and reference metadata, and processing means arranged to analyze the imaging data to determine whether it meets the consistency criterion, wherein the processing means is arranged to determine a degree of similarity between the imaging data and the reference data using a plurality of properties of the data and, if the degree of similarity is above a predetermined limit, to correct the imaging data using the reference data, the degree of similarity being measured using distance in a multi-dimensional classification space in which each dimension corresponds to a property of the data.

2. The system according to claim 1 wherein the consistency data defines at least one expected characteristic of the imaging data and the consistency criterion is that the imaging data has that expected characteristic.

3. The system according to claim 1 further comprising a user interface wherein a control means is arranged, if the degree of consistency is below a predetermined limit, to provide an indication of this via the user interface.

4. The system according to claim 3 wherein, if the degree of consistency is below a predetermined limit, the control means is arranged to display the data on the user interface for checking by a user.

5. The system according to claim 1 wherein the consistency data defines a protocol including expected imaging data sets relating to a plurality of expected images, and wherein the processing means is arranged to compare received imaging data with each of the expected imaging data sets and to identify which of them it is most consistent with.

6. The system according to claim 5 wherein each of the expected imaging data sets includes at least one of:

an expected time of acquisition;

an expected scanner identity; and

an expected patient identity.

7. The system according to claim 1 wherein the consistency data includes reference image data and the processing means is arranged to compare image data within the received imaging data with the reference image data to determine a degree of matching between a portion of a subject'"'"'s anatomy imaged in the received imaging data and a portion of anatomy imaged in the reference image data.

8. The system according to claim 7 where the processing means is arranged to compare intensity related data of the received imaging data with corresponding intensity related data of the reference image data to determine whether the relationship between the two sets of intensity related data is consistent with an expected use of contrast agent.

9. The system according to claim 8 wherein the reference image data is from a previously collected image from the same subject as the received imaging data.

10. The system according to claim 7 wherein the imaging data includes series description data and the consistency criterion relates to the consistency of the series description data with the reference image data.

11. The system according to claim 1 wherein the consistency criterion relates to consistency between different parts of the imaging data.

12. The system according to claim 11 wherein the consistency criterion relates to consistency between the image data and the metadata.

13. The system according to claim 1 wherein the consistency data includes a protocol including at least one of:

subject identity, acceptable ranges of scan time points, type of imaging apparatus, and type of imaging method.

14. The system according to claim 13 wherein the protocol is a clinical trial protocol.

15. A computer implemented method of admitting data including image data and associated metadata for analysis, the method comprising defining at least one consistency criterion defined by consistency data, analyzing the image data to determine whether it meets the criterion, and if the image data does not meet the consistency criterion, amending the image data so that it does meet the consistency criterion, wherein the consistency data includes reference data and the consistency criterion is a degree of consistency between the image data and the reference data, the reference data comprising at least one of reference image data and reference metadata, wherein analyzing the image data comprises determining a degree of similarity between the image data and the reference data using a plurality of properties of the data and, if the degree of similarity is above a predetermined limit, correcting the image data using the reference data, wherein the step of determining a degree of similarity comprises measuring a distance in a multi-dimensional classification space in which each dimension corresponds to a property of the data.