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
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