Registration of MR and CT images of the liver: comparison of voxel similarity and surface based registration algorithms.
Comput Methods Programs Biomed
; 78(2): 101-14, 2005 May.
Article
em En
| MEDLINE
| ID: mdl-15848266
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 7.7-8.4 mm for CT-CT registration, 8.2 mm for MR-MR registration, and 14.0-18.9 mm for MR-CT registration compared to mean misregistration from the surface-based technique in the range of 9.6-11.1 mm for CT-CT registration, 9.2-12.4 mm for MR-MR registration, and 15.2-19.0 mm for MR-CT registration.
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Bases de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Reconhecimento Automatizado de Padrão
/
Imageamento por Ressonância Magnética
/
Tomografia Computadorizada por Raios X
/
Fígado
Tipo de estudo:
Observational_studies
Limite:
Humans
País/Região como assunto:
America do norte
Idioma:
En
Revista:
Comput Methods Programs Biomed
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2005
Tipo de documento:
Article
País de afiliação:
Estados Unidos