Systems and methods for reconstruction of 3D anatomical images from 2D anatomical images
US10867436B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Apr 18, 2019 |
| Grant date | Dec 15, 2020 |
| Priority date | — |
| Expiry date | Aug 26, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/41
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
There is provided a method of training a neural network for reconstructing of a 3D point cloud from 2D image(s), comprising: extracting point clouds each represented by an ordered list of coordinates, from 3D anatomical images depicting a target anatomical structure, selecting one of the plurality of point clouds as a template, non-rigidly registering the template with each of the point clouds to compute a respective warped template having a shape of the respective point cloud and retaining the coordinate order of the template, wherein the warped templates are consistent in terms of coordinate order, receiving 2D anatomical images depicting the target anatomical structure depicted in corresponding 3D anatomical images, and training a neural network, according to a training dataset of the warped templates and corresponding 2D images, for mapping 2D anatomical image(s) into a 3D point cloud.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.