IP Library › Granted Patent US 10,245,000
Granted Patent B2
US 10,245,000 · App. 14/568,245 · Granted Apr 2, 2019

Method and system for defining a volume of interest in a physiological image

Inventors: Avi Bar-Shalev (Tirat Carmel, IL); Jonathan Sachs (Tirat Carmel, IL); Yaron Hefetz (Kibbutz Alonim, IL)
Assignee: General Electric Company
A61B6/5205A61B5/0035A61B5/055A61B5/1076A61B6/032A61B6/037A61B6/4417A61B6/5229A61B6/5235A61B6/5258G06T7/11G06T7/174G06T2207/10081G06T2207/10104G06T2207/10108
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 10,245,000
App. No.
14/568,245
Granted
Apr 2, 2019
Kind
B2
Abstract

A method and apparatus for defining a volume of interest in a physiological image based upon an anatomical image. The method and system acquires an anatomical image of a volume of interest using a first imaging modality. A physiological image is acquired using a second imaging modality different from the first imaging modality. An outline of the volume of interest is defined on the anatomical image and applied to the physiological image to define the volume of interest m the physiological image. Based upon the outline, the system and method assigns binary values to voxels within the outline to more accurately define the volume of interest.

Claims (46)

1. A method comprising:

reconstructing an anatomical image having a first resolution using a first imaging modality;

reconstructing a physiological image having a second resolution lower than the first resolution using a second imaging modality, the physiological image including a plurality of voxels;

identifying a target boundary of the target in the anatomical image;

registering the target boundary of the target on the physiological image;

identifying voxels of the physiological image that are completely within the target boundary;

calculating an inner activity value by summing activity levels of the voxels of the physiological image completely within the target boundary;

identifying partial volume voxels of the physiological image that include the target boundary;

assigning a weight to each of the partial volume voxels;

multiplying the weight of each partial volume voxel by an average target activity level to determine a modified activity level for each partial volume voxel;

calculating a partial volume activity value by summing the modified activity levels of the partial volume voxels;

combining the inner activity value and the partial volume activity; and

modifying the physiological image using the combined inner activity value and partial volume activity to provide a corrected physiological image.

2. The method of claim 1 wherein the weight assigned to a given one of the partial volume voxels is based on a volume of the given one of the partial volume voxels within the boundary.

3. The method of claim 1 wherein the first imaging modality is a computed tomography (CT) imaging system.

4. The method of claim 1 wherein the second imaging modality is a nuclear imaging modality.

5. A multi-modality imaging system comprising:

a first imaging modality apparatus operable to reconstruct an anatomical image of a target, the anatomical image having a first resolution;

a second imaging modality apparatus operable to reconstruct a physiological image of the target, the physiological image having a second resolution lower than the first resolution;

an image enhancement module comprising at least one processor programmed to:

acquire the anatomical image from the first imaging modality apparatus;

acquire the physiological image from the second imaging modality apparatus, the physiological image including a plurality of voxels;

identify a target boundary of the target in the anatomical image;

register the target boundary of the target to the physiological image;

identify voxels of the physiological image that are completely within the target boundary;

calculate an inner activity value by summing activity levels of the voxels of the physiological image completely within the target boundary;

identify partial volume voxels of the physiological image that include the target boundary;

assign a weight to each of the partial volume voxels;

multiply the weight of each partial volume voxel by an average target activity level to determine a modified activity level for each partial volume voxel;

calculate a partial volume activity value by summing the modified activity levels of the partial volume voxels;

combine the inner activity value and the partial volume activity; and

modify the physiological image using the combined inner activity value and partial volume activity to provide a corrected physiological image.

6. The multi-modality imaging system of claim 5 wherein the weight assigned to each of the partial volume voxels is based on a volume of the partial volume voxel within the target boundary.

7. A non-transitory computer-readable medium encoded with a program to instruct a computer to:

acquire an anatomical image having a first resolution using a first imaging modality;

acquire a physiological image having a second resolution lower than the first resolution using a second imaging modality, the physiological image including a plurality of voxels;

identify a target boundary of the target in the anatomical image;

apply the target boundary of the target to the physiological image;

identify voxels of the physiological image that are completely within the target boundary;

calculate an inner activity value by summing activity levels of the voxels of the physiological image completely within the target boundary;

identify partial volume voxels of the physiological image that include the target boundary;

assign a weight to each of the partial volume voxels;

multiply the weight of each partial volume voxel by an average target activity level to determine a modified activity level for each partial volume voxel;

calculate a partial volume activity value by summing the modified activity levels of the partial volume voxels;

combine the inner activity value and the partial volume activity; and

modify the physiological image using the combined inner activity value and partial volume activity to provide a corrected physiological image.

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 Dec 12, 2014
From: BAR-SHALEV, AVI; SACHS, JONATHAN; HEFETZ, YARON
To: GENERAL ELECTRIC COMPANY
Reel/Frame 034495/0341 →
Continuity (1)
Related Publication 20160166220A1 · Jun 16, 2016