IP Library Granted Patent US 10,349,911
Granted Patent B2
US 10,349,911 · App. 15/598,476 · Granted Jul 16, 2019

System and method to produce corrected contrast levels in a CT scan of vasculature

Inventors: Simone Melchionna (Belmont, MA); Brian Fix (Waltham, MA)
Assignee: Dassault Systemes Simulia Corp.
A61B6/5258A61B6/481A61B6/504A61B6/5217G06F19/321G06T5/009G16H50/50A61B2090/3762G06T2207/10081G06T2207/30101
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Quick Facts
Patent No.
US 10,349,911
App. No.
15/598,476
Granted
Jul 16, 2019
Kind
B2
Abstract

A method, system, and computer program product for correcting the contrast levels of a medical image of a vascular system is described. One of the methods includes identifying a global reference contrast level. The method includes for each image location which represents a location within the vascular system, determining a corrected contrast level by multiplying the original contrast level of that location by the ratio of the global reference contrast level divided by a local reference contrast level.

Claims (51)

1. A system for correcting the contrast levels of an image produced by a CT scan of a vascular system, the system comprising:

one or more processing devices and one or more hardware storage devices storing instructions that are operable, when executed by the one or more processing devices, to cause the one or more processing devices to:

identify a reference contrast level within the image;

generate a graph structure from at least a portion of interest in the image, with pixels at least a portion of interest in the image represented as nodes of the graph structure;

calculate plural local reference contrast levels;

iteratively determine for at least some of the nodes, a corrected contrast level, by instructions to:

multiply the original contrast level of a given one of the at least some nodes by the ratio of the reference contrast level divided by a local reference contrast level that is the closest local reference contrast level to the given node; and

produce a corrected image from the nodes in the graph including the at least some nodes.

2. The system of claim 1 , wherein the reference contrast level is determined from a reference location that represents a location within the aorta ostium.

3. The system of claim 1 , wherein the instructions further comprise instructions to:

display the corrected image on a monitor.

4. The system of claim 3 , wherein the instructions further comprise instructions to:

generate a fluid flow simulation based on the corrected image of the vascular system.

5. The system of claim 3 , wherein the instructions further comprise instructions to:

generate a physical model based on the representation of the vascular system.

6. The system of claim 1 , wherein the instructions further comprise instructions to:

identify in the graph, nodes corresponding to distal extremities of the vascular system; and

set a marker for each node representing a corresponding distal extremity in the graph.

7. The system of claim 6 , further comprising instructions to:

identifying a node that is a starting region of the vascular system as a reference point for the contrast level;

identifying a set of paths within the vascular system, each path in the set of paths connecting the node in the starting region to one of the identified nodes that correspond to distal extremities;

identifying a centerline for each path to provide the calculated plural local reference contrast levels.

8. A computer-implemented method for correcting the contrast levels of an image produced by a CT scan of a vascular system, the method comprising:

identifying a reference contrast level within the image;

generating a graph structure from at least a portion of interest in the image where pixels in the at least a portion of interest in the image are represented as nodes of the graph structure;

calculating plural local reference contrast levels;

iteratively determining for at least some of the nodes, a corrected contrast level by multiplying the original contrast level of a given one of the at least some nodes by the ratio of the reference contrast level divided by a local reference contrast level that is the closet local reference contrast level to the given node; and

producing a corrected image from the nodes in the graph including the at least some nodes.

9. The computer-implemented method of claim 8 , wherein the reference contrast level is determined from a reference location that represents a location within the aorta ostium.

10. The computer implemented method of claim 8 , further comprising generating displaying the corrected image on a monitor.

11. The computer implemented method of claim 10 , further comprising generating a fluid flow simulation based on the corrected image.

12. The computer-implemented method of claim 10 , further comprising generating a physical model based on the representation of the vascular system.

13. The computer-implemented method of claim 8 , further comprising:

identifying in the graph, nodes corresponding to distal extremities of the vascular system; and

setting a marker for each node representing a corresponding distal extremity in the graph.

14. The computer-implemented method of claim 13 , further comprising:

identifying a node that is a starting region of the vascular system as a reference point for the contrast level;

identifying a set of paths within the vascular system, each path in the set of paths connecting the node in the starting region to one of the identified nodes that correspond to distal extremities;

identifying a centerline for each path to provide the calculated plural local reference contrast levels.

15. A computer program product tangibly stored on a computer readable medium, the computer program product for correcting contrast levels of an image produced by a CT scan of a vascular system, the computer program product comprising instructions to cause a computer system to:

identify a node that is a reference contrast level within the image;

generating a graph structure from at least a portion of interest in the image where pixels in the at least a portion of interest in the image are represented as nodes of the graph structure;

calculate plural local reference contrast levels; and

iteratively determine for at least some of the nodes, a corrected contrast level, by instructions to:

multiply the original contrast level of a given one of the at least some nodes by the ratio of the reference contrast level divided by a local reference contrast level that is the closest local reference contrast level to the given node; and

produce a corrected image from the nodes in the graph including the at least some nodes.

16. The computer program product of claim 15 , further comprising instructions to:

identify a node that is a starting region of the vascular system as a reference point for the contrast level;

identifying a node that corresponds to a distal extremity of the vascular system;

identifying a path within the vascular system, the path connecting the identified node in the starting region to the identified node that corresponds to a distal extremity;

identifying a centerline for the path to provide the calculated plural local reference contrast levels.

Assignments (3)
MERGER Recorded Jan 5, 2024
From: DASSAULT SYSTEMES SIMULIA CORP.
To: DASSAULT SYSTEMES AMERICAS CORP.
Reel/Frame 066196/0775 →
MERGER Recorded Jan 31, 2019
From: EXA CORPORATION
To: DASSAULT SYSTEMES SIMULIA CORP,
Reel/Frame 048877/0769 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 18, 2017
From: MECHIONNA, SIMONE; FIX, BRIAN
To: EXA CORPORATION
Reel/Frame 043332/0104 →
Continuity (1)
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