System and method for quantitative volumetric assessment and modeling of tumor lesions
AssigneeOhio State Innovation Foundation
InventorsSissy M. Jhiang, Chia-Hsiang Menq, Peng Cheng
Life of this patent
Estimating the term…
Abstract
Disclosed are systems, methods, and computer program products for tumor lesion identification, segmentation, tracking and analysis, wherein a 3D spatial distribution of the tumor lesions in a target organ forms a unique 3D point structure for a patient.
Claims15
A method for tumor lesion identification, segmentation, tracking and analysis comprising:
- obtaining a first set of one or more three-dimensional (3D) digital images, wherein at least a portion of the one or more 3D digital images comprises a target organ;
- segmenting the first set of one or more 3D digital images of the target organ into one or more first segment volumes of the target organ;
- identifying and segmenting a first set of one or more tumor lesions in each of the one or more first segment volumes of the target organ;
- determining for each identified tumor lesion in the first set of one or more tumor lesions a three-dimensional location and a volume;
- creating a 3D spatial distribution of the identified first set of tumor lesions, wherein the 3D spatial distribution forms a unique 3D point structure for a patient.
A system for tumor lesion identification, segmentation, tracking and analysis comprising:
- an image capture device;
- a memory;
- and
- a processor in communication with the memory, wherein the processor executes computer-readable instructions stored in the memory that cause the processor to:
- obtain a first set of one or more three-dimensional (3D) digital image that has been captured by the image capture device, wherein at least a portion of the one or more 3D digital images comprises a target organ;
- segment the first set of one or more 3D digital images of the target organ into one or more first segment volumes of the target organ;
- identify and segment a first set of one or more tumor lesions in each of the one or more first segment volumes of the target organ;
- determine for each identified tumor lesion in the first set of one or more tumor lesions a three-dimensional location and a volume;
- and
- create a 3D spatial distribution of the identified first set of tumor lesions, wherein the 3D spatial distribution forms a unique 3D point structure for a patient.
A computer program product comprising computer-executable instructions for a method for tumor lesion identification, segmentation, tracking and analysis stored on a computer-readable media, said method comprising:
- obtaining a first set of one or more three-dimensional (3D) digital images, wherein at least a portion of the one or more 3D digital images comprises a target organ;
- segmenting the first set of one or more 3D digital images of the target organ into one or more first segment volumes of the target organ;
- identifying and segmenting a first set of one or more tumor lesions in each of the one or more first segment volumes of the target organ;
- determining for each identified tumor lesion in the first set of one or more tumor lesions a three-dimensional location and a volume;
- creating a 3D spatial distribution of the identified first set of tumor lesions, wherein the 3D spatial distribution forms a unique 3D point structure for a patient.
Dependencies are inferred from the claim text.