IP Library › Granted Patent US 11,443,845
Granted Patent B2
US 11,443,845 · App. 16/883,516 · Granted Sep 13, 2022

Systems and methods for storing compressed images

Inventor: Tatsuo Kawanaka (Tokyo, JP)
Assignee: FUJIFILM MEDICAL SYSTEMS U.S.A., INC.
G16H30/20G06T7/0014G06T9/00G16H10/60G06T2207/30016
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Quick Facts
Patent No.
US 11,443,845
App. No.
16/883,516
Granted
Sep 13, 2022
Kind
B2
Abstract

Method for storing a compressed digital image includes performing an artificial intelligence (“AI”) diagnostic test on the digital image; determining an uncompressed diagnostic result associated with the digital image based on the AI diagnostic test; generating one or more compressed digital images by compressing the digital image, each compressed digital image having a respective compression ratio; decompressing each compressed digital image to generate a respective decompressed digital image; performing the diagnostic test on each decompressed digital image; determining a decompressed diagnostic result associated with each decompressed digital image based on the respective diagnostic test; identifying one or more decompressed digital images having a respective decompressed diagnostic result that is the same as the uncompressed diagnostic result; selecting from the identified one or more decompressed digital images, the decompressed digital image associated with the highest compression ratio; and storing the compressed digital image associated with the selected decompressed digital image.

Claims (54)

1. A method of storing a compressed digital image, comprising:

receiving, at one or more computing devices, a digital image;

performing, at the one or more computing devices, an artificial intelligence (“AI”) diagnostic test on the digital image;

determining, at the one or more computing devices, an uncompressed diagnostic result associated with the digital image based on the AI diagnostic test;

generating, at the one or more computing devices, one or more compressed digital images by compressing the digital image, each compressed digital image having a respective compression ratio;

decompressing, at the one or more computing devices, each compressed digital image to generate a respective decompressed digital image;

performing, at the one or more computing devices, the AI diagnostic test on each decompressed digital image;

determining, at the one or more computing devices, a decompressed diagnostic result associated with each decompressed digital image based on the respective AI diagnostic test;

identifying, at the one or more computing devices, one or more decompressed digital images having a respective decompressed diagnostic result that is the same as the uncompressed diagnostic result;

selecting, at the one or more computing devices and from the identified one or more decompressed digital images, the decompressed digital image associated with the highest compression ratio; and

storing, at the one or more computing devices, the compressed digital image associated with the selected decompressed digital image.

2. The method of claim 1 , wherein the digital record comprises a medical image record.

3. The method of claim 2 , wherein the medical image record comprises a Digital Imaging and Communications in Medicine (“DICOM”) Service-Object Pair Instance.

4. The method of claim 1 , wherein each compressed digital image is generated using a respective loss-less or lossy compression technique.

5. The method of claim 1 , wherein for each compressed digital image, the compression ratio is calculated by dividing an uncompressed file size of the uncompressed image by a compressed file size of the compressed digital image.

6. The method of claim 1 , further comprising deleting the digital image.

7. The method of claim 1 , further comprising deleting the selected decompressed digital image.

8. The method of claim 1 , further comprising deleting each non-selected decompressed digital image and each associated compressed digital image.

9. One or more computer readable non-transitory storage media embodying software that is operable when executed to:

receive a digital image;

perform an artificial intelligence (“AI”) diagnostic test on the digital image;

determine an uncompressed diagnostic result associated with the digital image based on the AI diagnostic test;

generate one or more compressed digital images by compressing the digital image, each compressed digital image having a respective compression ratio;

decompress each compressed digital image to generate a respective decompressed digital image;

perform the AI diagnostic test on each decompressed digital image;

determine a decompressed diagnostic result associated with each decompressed digital image based on the respective AI diagnostic test;

identify one or more decompressed digital images having a respective decompressed diagnostic result that is the same as the uncompressed diagnostic result;

select from the identified one or more decompressed digital images, the decompressed digital image associated with the highest compression ratio; and

store the compressed digital image associated with the selected decompressed digital image.

10. The media of claim 9 , wherein the digital record comprises a medical image record.

11. The media of claim 10 , wherein the medical image record comprises a Digital Imaging and Communications in Medicine (“DICOM”) Service-Object Pair Instance.

12. The media of claim 9 , wherein each compressed digital image is generated using a respective loss-less or lossy compression technique.

13. The media of claim 9 , wherein for each compressed digital image, the compression ratio is calculated by dividing an uncompressed file size of the uncompressed image by a compressed file size of the compressed digital image.

14. The media of claim 9 , further comprising deleting the digital image.

15. The media of claim 9 , further comprising deleting the selected decompressed digital image.

16. The media of claim 9 , further comprising deleting each non-selected decompressed digital image and each associated compressed digital image.

17. A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to:

receive a digital image;

perform an artificial intelligence (“AI”) diagnostic test on the digital image;

determine an uncompressed diagnostic result associated with the digital image based on the AI diagnostic test;

generate one or more compressed digital images by compressing the digital image, each compressed digital image having a respective compression ratio;

decompress each compressed digital image to generate a respective decompressed digital image;

perform the AI diagnostic test on each decompressed digital image;

determine a decompressed diagnostic result associated with each decompressed digital image based on the respective AI diagnostic test;

identify one or more decompressed digital images having a respective decompressed diagnostic result that is the same as the uncompressed diagnostic result;

select from the identified one or more decompressed digital images, the decompressed digital image associated with the highest compression ratio; and

store the compressed digital image associated with the selected decompressed digital image.

18. The system of claim 17 , wherein the digital record comprises a medical image record.

19. The system of claim 18 , wherein the medical image record comprises a Digital Imaging and Communications in Medicine (“DICOM”) Service-Object Pair Instance.

20. The system of claim 17 , wherein each compressed digital image is generated using a respective loss-less or lossy compression technique.

21. The system of claim 17 , wherein for each compressed digital image, the compression ratio is calculated by dividing an uncompressed file size of the uncompressed image by a compressed file size of the compressed digital image.

22. The system of claim 17 , further comprising deleting the digital image.

23. The system of claim 17 , further comprising deleting the selected decompressed digital image.

24. The system of claim 17 , further comprising deleting each non-selected decompressed digital image and each associated compressed digital image.

Assignments (2)
MERGER AND CHANGE OF NAME Recorded Oct 6, 2023
From: FUJIFILM MEDICAL SYSTEMS U.S.A., INC.; FUJIFILM HEALTHCARE AMERICAS CORPORATION
To: FUJIFILM HEALTHCARE AMERICAS CORPORATION
Reel/Frame 065146/0458 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 26, 2020
From: KAWANAKA, TATSUO
To: FUJIFILM MEDICAL SYSTEMS U.S.A., INC.
Reel/Frame 052752/0398 →
Continuity (1)
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