IP Library › Granted Patent US 10,770,175
Granted Patent B2
US 10,770,175 · App. 16/131,503 · Granted Sep 8, 2020

System and method for segmentation and visualization of medical image data

Inventors: Warren Goble (Tucson, AZ); Sandeep Shah (Tempe, AZ)
Assignee: MULTUS MEDICAL LLC
G16H30/40G06T7/0014G06T19/20G16H30/20G16H50/50G06T13/20G06T2207/10072G06T2207/20084G06T2207/30012G06T2210/41G06T2219/004G06T2219/2004G06T2219/2012
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Quick Facts
Patent No.
US 10,770,175
App. No.
16/131,503
Granted
Sep 8, 2020
Kind
B2
Abstract

A computing device has a processor. A display is coupled to the processor. A user interface is coupled to the processor for entering data into the computing device. A memory is coupled to the processor, the memory storing program instructions that when executed by the processor, causes the processor to: load medical image data; match the medical image data to an anatomical model stored in a database having a data set closest to the medical image data; adjust at least one property on the anatomical model to form a modified anatomical model to match the medical data image; and detect if areas on the modified anatomical model exceeds predefined ranges indicating potential injured areas.

Claims (46)

1. A computing device comprising:

a processor;

a display coupled to the processor;

a user interface coupled to the processor for entering data into the computing device; and

a memory coupled to the processor, the memory storing program instructions that when executed by the processor, causes the processor to:

load medical image data, wherein the medical image date is a plurality of two-dimensional images;

match the medical image data to an anatomical model stored in a database having a data set closest to the medical image data;

adjust at least one property on the anatomical model to form a modified three-dimensional anatomical model to match the medical data image; and

detect if areas on the modified three-dimensional anatomical model exceeds predefined ranges indicating potential injured areas.

2. The computing device of claim 1 , wherein the memory storing program instructions executed by the processor, causes the processor to store the modified three-dimensional anatomical model in the database as a new anatomical model.

3. The computing device of claim 1 , wherein the medical imam date is a plurality of MRI scans.

4. The computing device of claim 1 , wherein the memory storing program instructions executed by the processor, causes the processor to form the modified three-dimensional anatomical model using one of polygon modeling, non-uniform rational basis spline (NURBS) modeling, subdivision modeling, equation-based modeling and combinations thereof.

5. The computing device of claim 1 , wherein the memory storing program instructions executed by the processor, causes the processor to form the modified three-dimensional anatomical model of a plurality of components, each component having manually adjustable properties to conform the modified three-dimensional anatomical model to the medical data image.

6. The computing device of claim 5 , wherein the adjustable properties for at least one of the components comprises: height, radius, thickness, length, position, and scale.

7. The computing device of claim 5 , wherein the memory storing program instructions executed by the processor, causes the processor to add data structures to at least one of the components, the data structure representing an abnormality to the at least one component.

8. The computing device of claim 5 , causes the processor to add data structures to at least one of the components, the data structure being adjustable and represents an abnormality to the at least one component.

9. The computing device of claim 1 , wherein the memory storing program instructions executed by the processor, causes the processor to:

divide each component into a plurality of sections, wherein each section having adjustable properties; and

adjusting a desired section of a desired component to form the modified three-dimensional anatomical model matching the medical data image.

10. The computing device of claim 1 , wherein the memory storing program instructions executed by the processor, causes the processor to add sub-structures to the anatomical model.

11. The computing device of claim 1 , wherein the memory storing program instructions executed by the processor, causes the processor to:

define a specified region based on the medical image data; and

match the specified region to a corresponding anatomical model.

12. The computing device of claim 1 , wherein the memory storing program instructions executed by the processor, causes the processor to use Convolution based Neural Network (CNN) to match the medical image data to an anatomical model.

13. The computing device of claim 1 , wherein the memory storing program instructions executed by the processor, causes the processor to form one of an automated video or animation creation of the modified three-dimensional anatomical model.

14. A computing device comprising:

a processor;

a display coupled to the processor;

a user interface coupled to the processor for entering data into the computing device; and

a memory coupled to the processor, the memory storing program instructions that when executed by the processor, causes the processor to:

load medical image data, wherein the medical image data is a two-dimensional MRI scan;

match the medical image data to an anatomical model stored in a database having a data set closest to the medical image data, the anatomical model being a three-dimensional anatomical model;

adjust at least one property on the three-dimensional anatomical model to form a modified three-dimensional anatomical model to match the medical data image;

detect if areas on the modified three-dimensional anatomical model exceeds predefined ranges indicating potential injured areas;

store the modified three-dimensional anatomical model in the database as a new three-dimensional anatomical model; and

form one of an automated video or animation creation of the modified three-dimensional anatomical model.

15. The computing device of claim 14 , wherein the memory storing program instructions executed by the processor, causes the processor to form the modified three-dimensional anatomical model using one of polygon modeling, non-uniform rational basis spline (NURBS) modeling; subdivision modeling, equation-based modeling and combinations thereof.

16. The computing device of claim 14 , wherein the memory storing program instructions executed by the processor, causes the processor to form the modified three-dimensional anatomical model of a plurality of components, each component having manually adjustable properties to conform the modified three-dimensional anatomical model to the medical data image to the two-dimensional MRI scan.

17. The computing device of claim 16 , wherein the memory storing program instructions executed by the processor, causes the processor to:

divide each component into a plurality of sections, wherein each section having adjustable properties; and

adjusting a desired section of a desired component to conform the modified three-dimensional anatomical model to the medical data image.

18. The computing device of claim 16 , wherein the memory storing program instructions executed by the processor, causes the processor to add data structures to at least one of the components, the data structure representing an abnormality to the at least one component, the data structure having adjustable properties.

19. The computing device of claim 14 , wherein the memory storing program instructions executed by the processor, causes the processor to;

define a specified region based on the medical image data; and

match the specified region to corresponding anatomical model.

20. The computing device of claim 14 , wherein the memory storing program instructions executed by the processor, causes the processor to use Convolution based Neural Network (CNN) to match the medical image data to an anatomical model.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 7, 2020
From: GOBLE, WARREN; SHAH, SANDEEP
To: MULTUS MEDICAL LLC
Reel/Frame 053141/0532 →
Continuity (2)
Provisional Application 62559052 · Sep 15, 2017
Related Publication 20190088360A1 · Mar 21, 2019