IP Library › Granted Patent US 10,452,812
Granted Patent B2
US 10,452,812 · App. 15/232,397 · Granted Oct 22, 2019

Methods and apparatus for recording anonymized volumetric data from medical image visualization software

Inventors: Nicolas Gogin (Buc, FR); Jerome Knoplioch (Buc, FR)
Assignee: GENERAL ELECTRIC COMPANY
G06F19/321G06F21/6254G16H30/20G16H30/40
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Quick Facts
Patent No.
US 10,452,812
App. No.
15/232,397
Filed
Aug 9, 2016
Granted
Oct 22, 2019
Kind
B2
Art Unit
3689
USPC
705/2
Abstract

Methods and apparatus for recording anonymized volumetric data from medical image visualization software are disclosed. An example method includes receiving a medical image; anonymizing the medical image outside of a region of interest by degrading the medical image outside a region corresponding to the region of interest and maintaining the resolution of the medical image inside the region corresponding to the region of interest; extracting data from the medical image; and generating an archive based on the anonymized medical image and the data.

Claims (44)

1. A method comprising:

receiving a medical image;

generating, by executing an instruction with a processor, an extraction parameter based on an image capture parameter;

anonymizing, by executing an instruction with the processor, the medical image outside of a region of interest based on the extraction parameter by degrading the medical image outside a region corresponding to the region of interest and maintaining a resolution of the medical image inside the region corresponding to the region of interest;

extracting, by executing an instruction with the processor, data from the medical image; and

generating, by executing an instruction with the processor, a compressed local archive based on the anonymized medical image, the data, and an indication corresponding to a comparison of a first portion within the region of interest and a second portion outside the region of interest, the indication corresponding to an evolution of the region of interest.

2. The method of claim 1 , wherein the medical image is an annotated whole volume medical image generated by an imaging device.

3. The method of claim 1 , wherein the medical image is a three dimensional medical image.

4. The method of claim 1 , wherein the anonymizing of the medical image outside of the region corresponding to the region of interest by degrading the medical image includes at least one of blurring the medical image outside the region, filtering the medical image outside the region to mask identifying structures of the medical image, matching the region to a generic template, encrypting the medical image outside the region, or downsampling voxel values associated with the medical image outside of the region corresponding to the region of interest.

5. The method of claim 4 , wherein downsampling the voxel values generates a low resolution region of the medical image.

6. The method of claim 1 , wherein the data includes at least one of volumetric data, metadata, or contextual data, the volumetric data including a list of voxel values associated with the region of interest, the contextual data including edits or notes generated by a user.

7. The method of claim 6 , further including anonymizing the metadata by removing data associated with a patient.

8. The method of claim 1 , further including transmitting the compressed local archive to a remote system to generate a database to improve remote system performance based at least in part on the evolution of the region of interest.

9. The method of claim 1 , further including:

storing the compressed local archive in a directory of a computing device;

determining if space available in the directory satisfies a threshold;

transmitting an oldest archive to a remote system; and

when the space available does not satisfy the threshold, deleting the oldest archive in the directory.

10. The method of claim 1 , further including generating the region corresponding to the region of interest based on a segmentation of the region of interest.

11. The method of claim 10 , wherein the region corresponding to the region of interest is a bounding box.

12. An apparatus comprising:

a receiver to receive a medical image;

a parameter generator to generate an extraction parameter based on an image capture Parameter;

an image anonymizer to anonymize the medical image outside of a region of interest based on the extraction parameter by degrading the medical image outside a region corresponding to the region of interest and maintaining a resolution of the medical image inside the region corresponding to the region of interest;

an extractor to extract data from the medical image; and

an archive generator to generate a compressed local archive based on the anonymized medical image, the data, and an indication corresponding to a comparison of a first portion within the region of interest and a second portion outside the region of interest, the indication corresponding to an evolution of the region of interest.

13. The apparatus of claim 12 , wherein the image anonymizer is to anonymize the medical image outside of the region corresponding to the region of interest by degrading the medical image by at least one of blurring the medical image outside the region, masking the medical image outside the region, matching the region to a generic template, encrypting the medical image outside the region, or downsampling voxel values associated with the medical image outside of the region corresponding to the region of interest.

14. The apparatus of claim 12 , wherein the data includes at least one of volumetric data, metadata, or contextual data, the volumetric data including a list of voxel values associated with the region of interest, the contextual data including edits or notes generated by a user.

15. The apparatus of claim 14 , wherein the extractor is to anonymize the metadata by removing data associated with a patient.

16. The apparatus of claim 12 , further including a storage size reducer to:

store the compressed local archive in a directory of a computing device;

determine if space available in the directory satisfies a threshold; and

when the space available does not satisfy the threshold, delete an oldest archive in the directory.

17. The apparatus of claim 12 , wherein the image anonymizer is to generate the region corresponding to the region of interest based on a segmentation of the region of interest.

18. The apparatus of claim 12 , wherein the is parameter generator to, in response to a user verification of the region of interest, store the extraction parameter in the compressed local archive.

19. The apparatus of claim 12 , wherein:

the extraction parameter includes at least one of a second resolution for the second portion, a maximum size of the region of interest, metadata to extract from the medical image, a third resolution for volumetric data, or contextual data to extract from the medical image; and

the image capture parameter includes at least one of a fourth resolution of the medical image, a body part included in the medical image, a size of the medical image, or device data corresponding to an imaging device that captured the medical image.

20. A non-transitory computer readable medium comprising instructions which, when executed, cause a machine to at least:

receive a medical image;

generate, by executing an instruction with a processor, an extraction parameter based on an image capture parameter;

anonymize the medical image outside of a region of interest based on the extraction parameter by degrading the medical image outside a region corresponding to the region of interest and maintaining a resolution of the medical image inside the region corresponding to the region of interest;

extract data from the medical image; and

generate a compressed local archive based on the anonymized medical image, the data, and an indication corresponding to a comparison of a first portion within the region of interest and a second portion outside the region of interest, the indication corresponding to an evolution of the region of interest.

Assignments (2)
NUNC PRO TUNC ASSIGNMENT Recorded May 8, 2025
From: GENERAL ELECTRIC COMPANY
To: GE PRECISION HEALTHCARE LLC
Reel/Frame 071225/0218 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 9, 2016
From: GOGIN, NICOLAS; KNOPLIOCH, JEROME
To: GENERAL ELECTRIC COMPANY
Reel/Frame 039386/0638 →
Continuity (1)
Related Publication 20180046758A1 · Feb 15, 2018
Cited By (2)
US 12,301,547 US 12,394,519