Methods for data driven respiratory motion estimation
US11410349B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Mar 19, 2018 |
| Grant date | Aug 9, 2022 |
| Priority date | — |
| Expiry date | Apr 22, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/412
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A respiratory motion estimation method (30) includes reconstructing emission imaging data (22) to generate a reconstructed image (50). The emission imaging data comprises lines of response (LORs) acquired by a positron emission tomography (PET) imaging device or projections acquired by a gamma camera. One or several assessment volumes (66) are defined within the reconstructed images. The emission imaging data are binned into time interval bins based on time stamps of the LORs or projections. A displacement versus time curve (70) is generated by computing, for each time interval bin, a statistical displacement metric of the LORs or projections that both are binned in the time interval bin and intersect the motion assessment volume. The motion assessment volume may be selected to overlap a motion assessment image feature (60) identified in the reconstructed image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.