Method of multi-resolution 3D image registration by mutual information / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 599-610, 2002.
Artigo
em Chinês
| WPRIM (Pacífico Ocidental)
| ID: wpr-340957
Biblioteca responsável:
WPRO
ABSTRACT
Maximization of mutual information is a powerful criterion for 3D medical image registration, allowing robust and fully accurate automated rigid registration of multi-modal images in a various applications. In this paper, a method based on normalized mutual information for 3D image registration was presented on the images of CT, MR and PET. Powell's direction set method and Brent's one-dimensional optimization algorithm were used as optimization strategy. A multi-resolution approach is applied to speedup the matching process. For PET images, pre-procession of segmentation was performed to reduce the background artefacts. According to the evaluation by the Vanderbilt University, Sub-voxel accuracy in multi-modality registration had been achieved with this algorithm.
Texto completo:
Disponível
Base de dados:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Processamento de Imagem Assistida por Computador
/
Encéfalo
/
Imageamento Tridimensional
/
Métodos
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2002
Tipo de documento:
Artigo