IP Library Granted Patent US 12,009,090
Granted Patent B2
US 12,009,090 · App. 18/184,420 · Granted Jun 11, 2024

Liver cancer detection

Inventors: Dipankar Ghosh (Irvine, CA); John Carl Hoefs (Irvine, CA)
Assignee: HEPATIQ, INC.
G16H30/40G06T5/00G06T7/0012G06T7/20G06T7/62G06T2207/10108G06T2207/20224G06T2207/30056G06T2207/30096
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Quick Facts
Patent No.
US 12,009,090
App. No.
18/184,420
Granted
Jun 11, 2024
Kind
B2
Abstract

Methods and systems for determining a tumor volume from image data obtained from a functional scanner. The methods and systems can include identifying a portion within a region of interest corresponding to a liver that varies in intensity with its corresponding neighboring portion by a threshold. The method and systems can further include determining a volume of the portion without identifying a boundary of the portion. The portion can also be tracked over time. The image data can include a scan from a SPECT scanner.

Claims (32)

1. A system for simultaneously determining for an organ, a tumor parameter and an organ function parameter, from image data obtained from a functional scanner, the system comprising one or more hardware processors configured to:

determine a region of interest corresponding to an organ from image data taken;

determine a shape within the region of interest that includes an entire volume of a suspected tumor mass;

determine a first volume of functional tissue within the shape based on a concentration of isotopes intensities;

determine a second volume of the suspected tumor mass based on the determined first volume;

determine an organ function parameter based on the determined region of interest; and

display a tumor parameter and the organ function parameter, wherein the tumor parameter includes the second volume of the suspected tumor mass.

2. The system of claim 1 , wherein the one or more hardware processors are further configured to determine a volume of the tumor without identifying a boundary of the tumor.

3. The system of claim 1 , wherein the shape comprises a 3D ellipsoid.

4. The system of claim 1 , wherein the shape comprises a 3D tubular shape.

5. The system of claim 1 , wherein the one or more hardware processors are further configured to determine that the shape corresponds to a blood vessel or a cyst.

6. The system of claim 1 , wherein the one or more hardware processors are further configured to pre-process the image data.

7. The system of claim 6 , wherein the pre-processing comprises at least one or more of: boosting resolution, sharpening, slicing, or dicing.

8. The system of claim 1 , wherein the second volume is determined without use of molecular cancer tagging agents.

9. The system of claim 1 , wherein the organ function parameter comprises Perfused Hepatic Mass (PHM), Hepatic Activity Index (HAI), Total Counts Ratio (TCR), Normalized Liver Volume (NLV), or Normalized Spleen Volume (NSV).

10. The system of claim 1 , wherein the one or more hardware processors are further configured to track a trend in organ function and tumor parameters.

11. A method for simultaneously determining for an organ, a tumor parameter and an organ function parameter, from image data obtained from a functional scanner, the method comprising:

determining a region of interest corresponding to an organ from image data taken;

determining a shape within the region of interest that includes an entire volume of a suspected tumor mass;

determining a first volume of functional tissue within the shape based on a concentration of isotopes intensities;

determining a second volume of the suspected tumor mass based on the determined first volume;

determining an organ function parameter based on the determined region of interest; and

displaying a tumor parameter and the organ function parameter, wherein the tumor parameter includes the second volume of the suspected tumor mass.

12. The method of claim 11 , further comprising determining a volume of the tumor without identifying a boundary of the tumor.

13. The method of claim 11 , wherein the shape comprises a 3D ellipsoid.

14. The method of claim 11 , wherein the shape comprises a 3D tubular shape.

15. The method of claim 11 , further comprising determining that the shape corresponds to a blood vessel or a cyst.

16. The method of claim 11 , further comprising pre-processing the image data.

17. The method of claim 16 , wherein the pre-processing comprises at least one or more of: boosting resolution, sharpening, slicing, or dicing.

18. The method of claim 11 , wherein the second volume is determined without use of molecular cancer tagging agents.

19. The method of claim 11 , wherein the organ function parameter comprises Perfused Hepatic Mass (PHM), Hepatic Activity Index (HAI), Total Counts Ratio (TCR), Normalized Liver Volume (NLV), or Normalized Spleen Volume (NSV).

20. The method of claim 11 , further comprising determining a trend in organ function and tumor parameters.

Assignments (2)
SECURITY INTEREST Recorded Jan 13, 2026
From: HEPATIQ, INC.
To: RUEDA, MICHAEL
Reel/Frame 073459/0529 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 7, 2024
From: GHOSH, DIPANKAR; HOEFS, JOHN CARL
To: HEPATIQ, INC.
Reel/Frame 067334/0662 →
Continuity (3)
Continuation 17095482 · Nov 11, 2020
Provisional Application 62934449 · Nov 12, 2019
Related Publication 20230368897A1 · Nov 16, 2023
Cited By (2)
US 12,620,468 US 12,661,076