Systems and methods for segmentation and analysis of 3D images
US11080830B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 23, 2019 |
| Grant date | Aug 3, 2021 |
| Priority date | — |
| Expiry date | Oct 6, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are computationally efficient systems and methods for processing and analyzing two-dimensional (2D) and three-dimensional (3D) images using texture filters that are based on the Hessian eigenvalues (e.g., eigenvalues of a square matrix of second-order partial derivatives) of each pixel or voxel. The original image may be a single image or a set of multiple images. In certain embodiments, the filtered images are used to calculate texture feature values for objects such as cells identified in the image. Once objects are identified, the filtered images can be used to classify the objects, for image segmentation, and/or to quantify the objects (e.g., via regression).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.