DocumentCode :
3139977
Title :
A Fast and Automatic Method for 3D Rigid Registration of MR Images of the Human Brain
Author :
Favretto, Fernanda O. ; Bergo, Felipe P G ; Falcao, Alexandre X.
Author_Institution :
LIV - Inst. of Comput., Univ. of Campinas, Campinas
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
121
Lastpage :
128
Abstract :
Image registration is an important problem with several applications in medical imaging. Intra-subject rigid registration requires a minimal set of parameters to be computed, and is sufficient for organs with no significant movement or deformation, such as the human brain. Rigid registration has also been used as the first step before inter-subject deformable registration. In this paper we present a fast and automatic method for 3D rigid registration of magnetic resonance images of the human brain. The method combines previous approaches formid-sagittal plane location and brain segmentation with a greedy-search algorithm to find the best match between source and target images. We evaluated the method on 200 image pairs: 100 without structural abnormalities and 100 with artificially created lesions, such that it was possible to quantify the registration errors. The method achieved very accurate registration within a few seconds.
Keywords :
biomedical MRI; brain; greedy algorithms; image registration; image segmentation; search problems; 3D rigid registration; MR images; brain segmentation; formid-sagittal plane location; greedy-search algorithm; human brain; image registration; inter-subject deformable registration; magnetic resonance images; medical imaging; Biomedical imaging; Computer graphics; Humans; Image registration; Image segmentation; Lesions; Magnetic resonance; Medical treatment; Parameter estimation; Surgery; image processing; medical image analysis; registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics and Image Processing, 2008. SIBGRAPI '08. XXI Brazilian Symposium on
Conference_Location :
Campo Grande
ISSN :
1530-1834
Print_ISBN :
978-0-7695-3358-2
Type :
conf
DOI :
10.1109/SIBGRAPI.2008.33
Filename :
4654151
Link To Document :
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