Retrospective selection and various types of image alignment to improve DTI SNR
US6724190B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 15, 2002 |
| Grant date | Apr 20, 2004 |
| Priority date | — |
| Expiry date | Jun 3, 2022 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30016
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An imaging sequence, which generates a static image data set and a plurality of differently diffusion-weighted data sets, is repeated and the data sets stored in memories (360, 361, . . . , 36N). Each data set is reconstructed into corresponding images stored in sub memories (380, 381, . . . , 38N). The images are compared macroscopically (40) and shifted (42) into optimal alignment. Local regions of the images are analyzed (44) and adjusted (46) for better conformity. The static images and like spatially encoded images are compared with each other and those outside a preselected similarity threshold are rejected (48). The remaining like images are combined (50) and subject to a diffusion analysis (52) to generate an image of an anisotropic structure in the imaging region. The anisotropic structure and other image information are displayed on a monitor (58).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.