Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10345868 | Computer Methods and Programs in Biomedicine | 2005 | 14 Pages |
Abstract
The purpose of this work was to determine the feasibility and efficacy of retrospective registration of MR and CT images of the liver. The open-source ITK Insight Software package developed by the National Library of Medicine (USA) contains a multi-resolution, voxel-similarity-based registration algorithm which we selected as our baseline registration method. For comparison we implemented a multi-scale surface fitting technique based on the head-and-hat algorithm. Registration accuracy was assessed using the mean displacement of automatically selected point landmarks. The ITK voxel-similarity-based registration algorithm performed better than the surface-based approach with mean misregistration in the range of 7.7-8.4âmm for CT-CT registration, 8.2âmm for MR-MR registration, and 14.0-18.9âmm for MR-CT registration compared to mean misregistration from the surface-based technique in the range of 9.6-11.1âmm for CT-CT registration, 9.2-12.4âmm for MR-MR registration, and 15.2-19.0âmm for MR-CT registration.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Wen-Chi Christina Lee, Mitchell E. Tublin, Brian E. Chapman,