Method and apparatus for providing clinically adaptive compression of imaging data

• US 20020090140A1
• Filed: 08/06/2001
• Published: 07/11/2002
• Est. Priority Date: 08/04/2000
• Status: Abandoned Application

• Current Assignee: Connex MD, Inc.
• Original Assignee: Connex MD, Inc.
• Inventors: Thirsk, Graham
• Application Number:
  US09/923,783
• Publication Number:
  US 20020090140A1
• Time in Patent Office: Days
• US Class Current: 382/239
• CPC Class Codes: G06T 9/00 Image coding bandwidth or redundancy reduction for static pictures H04N1/41; coding or decoding of static colour picture signals H04N1/64; methods or arrangements for coding, decoding, compressing or decompressing digital video signals H04N19/00

Abstract

A system and method for clinical adaptive compression of image data is disclosed. Images are examined for contextual data, color/grayscale data, color/grayscale table, interpolated data, temporal redundancy, display mode, and/or other information. One or more subregions of data is identified, simplified, and compressed without degrading the quality of the clinically important information. The less clinically important information is more highly compressed. Redundant and non-essential data may be decimated, and the clinically necessary information is coded and made available for access.

Claims

1. A method of compressing clinical image data generated by a device, the method comprising:

identifying a subregion of interest in the clinical image data;

separating the clinical image into a first portion comprising the subregion of interest and a second portion comprising the clinical image data not in the subregion of interest;

compressing the first portion of the image using a first compression scheme having relatively low information loss and a relatively low compression ratio; and

compressing the second portion of the image using a second compression scheme having relatively higher data information loss and a relatively higher compression ratio.

2. The method of claim 1, wherein the first compression scheme has no information loss.

3. The method of claim 1, wherein at least the second compression scheme includes decimation of the second portion of the clinical image data.

4. The method of claim 1, wherein the clinical image data comprises a plurality of ultrasonic images.

5. The method of claim 1, wherein the clinical image data comprises a plurality of echocardiography images.

6. The method of claim 1, further comprising the step of combining the compressed first and second portions of the clinical image data.

7. The method of claim 6, further comprising the step of further compressing the combined compressed clinical image data.

8. The method of claim 1, wherein the subregion of interest is determined using data about the device that generated the image data.

9. A method of compressing clinical image data generated by a device, the method comprising:

identifying a subregion of interest in the clinical image data;

separating the clinical image into a first portion comprising the subregion of interest and a second portion comprising the clinical image data not in the subregion of interest;

compressing the second portion of the image using a second compression scheme having relatively higher data information loss and a relatively higher compression ratio;

simplifying the data first portion without reducing the clinically important information in the first data portion;

compressing the simplified data first portion using a first compression scheme having relatively low data information loss and relatively high compression ratio; and

combining the compressed first and second portions of the clinical image data.

10. The method of claim 9, wherein the first compression scheme has no information loss.

11. The method of claim 9, wherein at least the second compression scheme includes decimation of the second portion of the clinical image data.

12. The method of claim 9, wherein the clinical image data comprises a plurality of ultrasonic images.

13. The method of claim 9, wherein the clinical image data comprises a plurality of echocardiography images.

14. The method of claim 9, further comprising the step of further compressing the combined compressed clinical image data.

15. The method of claim 9, wherein the subregion of interest is determined using data about the device that generated the image data.

16. The method of claim 9, wherein the data first portion is simplified by removing interpolated data.

17. The method of claim 9, wherein the data first portion is simplified by reducing the number of image shade values to only include values that are clinically relevant.

18. The method of claim 9, wherein the data first portion is simplified by extracting redundant data.

20. The method of claim 19, wherein the first compression scheme has no information loss.

21. The method of claim 19, wherein the subregions of interest are determined using data about the device that generated the image data.

22. The method of claim 19, wherein the data first portion is simplified by removing interpolated data added by the device that generated the image data.

23. The method of claim 19, wherein the data first portion is simplified by reducing the number of image color values to only include values that are clinically relevant.

24. The method of claim 19, wherein at least the first compression scheme includes spatial domain decimation of the clinical image data.

25. The method of claim 19, wherein at least the first compression scheme includes frequency domain decimation of the clinical image data.

26. The method of claim 19, wherein the clinical image data comprises a plurality of ultrasonic images.

27. The method of claim 26, wherein the plurality of ultrasonic images are examined to identify and eliminate data that occurs in more than one image.

28. The method of claim 19, further comprising the step of combining the compressed first and second portions of the clinical image data.

29. The method of claim 28, further comprising the step of further compressing the combined compressed clinical image data.

19. A method of compressing clinical image data generated by a device, the method comprising:

identifying at least one subregion of clinical interest in the clinical image data;

separating the clinical image into a first portion comprising the subregion of interest and a second portion comprising the clinical image data not in the subregion of interest;

simplifying the first portion of the image using a first scheme that uses various assumptions about the first portion to identify and eliminate redundant data and increase compressibility without affecting clinically important information;

simplifying the second portion of the image using a second scheme using different assumptions than that for the first portion to identify and eliminate redundant data and increase compressibility;

compressing the simplified data of the first portion of the image using a first compression scheme having relatively low information loss; and

compressing the second portion of the image using a second compression scheme having relatively higher information loss.