IP Library Granted Patent US 11,983,845
Granted Patent B1
US 11,983,845 · App. 18/387,491 · Granted May 14, 2024

Digital tissue segmentation and viewing

Inventor: Steven Frank (Framingham, MA)
G06T3/4053G06T7/11G06T11/001G06T11/60G06F3/04845G06F3/0488G06T2200/24G06T2207/10072G06T2207/30004G06T2210/41
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,983,845
App. No.
18/387,491
Granted
May 14, 2024
Kind
B1
Abstract

Methods and systems for representing a tissue segmentation from a source digital image computationally generate, from a source digital image of an anatomic region, a digital tissue segmentation visually indicating regions of interest corresponding to an abnormal condition associated with at least portions of the anatomic region. The source image and the tissue segmentation may be alternately displayed in registration on a mobile device at a gesturally selected magnification level.

Claims (30)

1. A method of computationally representing a tissue segmentation image from a source digital image, the method comprising the steps of:

at a remote computer, computationally generating, from a source digital image of an anatomic region, a digital tissue segmentation image visually indicating regions of interest corresponding to a physiologic condition associated with at least portions of the anatomic region;

storing, at a server, a plurality of versions of the source image each having a different resolution from the other versions; and

on a mobile device, (i) alternately displaying each of the source image and the tissue segmentation image or corresponding portions thereof in registration at a gesturally selected magnification level and at a first resolution level, (ii) responsive to a higher gesturally selected magnification, providing from the server a corresponding portion of a higher-resolution version of the displayed image stored on the server, and (iii) replacing the displayed image with the provided corresponding portion.

2. The method of claim 1 , further comprising receiving, at the server, coordinates from the mobile device specifying a displayed portion of the source image or the tissue segmentation image at the gesturally selected magnification and responsively making a corresponding portion of the higher-resolution source image version available to the mobile device.

3. The method of claim 2 , wherein the plurality of higher-resolution image versions are each represented at the server by a plurality of tiles having a tile count determined by an image resolution, the corresponding portion of the higher-resolution source image version obtained from the server comprising tiles.

4. The method of claim 2 , wherein the plurality of higher-resolution source image versions are each represented at the server as unitary images, the corresponding portion of the higher-resolution source image version obtained from the server being a single image.

5. The method of claim 4 , wherein the plurality of higher-resolution source images are related to each other by at least one geometric transformation.

6. The method of claim 1 , further comprising, at the server:

computationally generating the digital tissue segmentation from the source digital image at a selected one of the resolutions;

applying the digital tissue segmentation to the source image at the other resolutions; and

responsive to an increase in magnification of a displayed digital tissue segmentation on the mobile device, replacing the displayed digital tissue segmentation with corresponding subject matter from one of the higher-resolution representations thereof.

7. The method of claim 1 , wherein the digital tissue segmentation includes a plurality of overlays designating, and colorwise distinguishing, high-precision regions of interest and high-recall regions of interest superimposed on corresponding regions of the digital source image.

8. The method of claim 1 , further comprising computationally analyzing one or more of the regions of interest to identify a subtype associated therewith.

9. The method of claim 8 , wherein the subtype is a cancer subtype.

10. The method of claim 8 , wherein the subtype is a cancer severity level.

11. The method of claim 1 , wherein the digital tissue segmentation image is an overlay.

12. A system comprising:

a remote computer configured to computationally generate, from a source digital image of an anatomic region, a digital tissue segmentation image visually indicating regions of interest corresponding to a physiologic condition associated with at least portions of the anatomic region;

a server;

a storage device for storing, accessible to the server, a plurality of versions of the source image each having a different resolution from the other versions; and

a mobile device configured to (i) alternately display each of the source image and the tissue segmentation image or corresponding portions thereof in registration at a gesturally selected magnification level and at a first resolution level, (ii) responsive to a higher gesturally selected magnification, obtain from the server a corresponding portion of a higher-resolution version of the displayed image stored on the storage device, and (iii) replace the displayed image with the provided corresponding portion.

13. The system of claim 12 , wherein the server is configured to (i) receive coordinates from the mobile device specifying a displayed portion of the source image or the tissue segmentation image at the gesturally selected magnification and (ii) responsively make a corresponding portion of the higher-resolution source image version available to the mobile device.

14. The system of claim 13 , wherein the plurality of higher-resolution image versions are each represented on the storage device by a plurality of tiles having a tile count determined by an image resolution, the corresponding portion of the higher-resolution source image version obtained from the server comprising tiles.

15. The system of claim 13 , wherein the plurality of higher-resolution source image versions are each represented on the storage device as unitary images, the corresponding portion of the higher-resolution source image version obtained from the server being a single image.

16. The system of claim 15 , wherein the plurality of higher-resolution source images are related to each other by at least one geometric transformation.

17. The system of claim 12 , wherein the server is configured to computationally generate the digital tissue segmentation from the source digital image at a selected one of the resolutions; apply the digital tissue segmentation to the source image at the other resolutions; and responsive to an increase in magnification of a displayed digital tissue segmentation on the mobile device, cause the displayed digital tissue segmentation to be replaced with corresponding subject matter from one of the higher-resolution representations thereof.

18. The system of claim 12 , wherein the digital tissue segmentation includes a plurality of overlays designating, and colorwise distinguishing, high-precision regions of interest and high-recall regions of interest superimposed on corresponding regions of the digital source image.

19. The system of claim 12 , wherein the source digital image and the digital tissue segmentation image have substantially identical dimensions.

20. The system of claim 12 , wherein the digital tissue segmentation image is an overlay.

Continuity (3)
Continuation In Part 18122390 · Mar 16, 2023
Continuation In Part 17871878 · Jul 22, 2022
Provisional Application 63431341 · Dec 9, 2022
Cited By (3)
US 12,217,520 US 12,248,846 US 12,380,578