Title :
Robust segmentation of brain structures in MRI
Author :
Murgasova, Maria ; Rueckert, Daniel ; Edwards, David ; Hajnal, Jo
Author_Institution :
Dept. of Comput., Imperial Coll. London, London, UK
fDate :
June 28 2009-July 1 2009
Abstract :
A novel method for the segmentation of brain structures combining registration-based and EM-based approaches is proposed. To address the issue of intensity variation within brain structures, we propose a method for creating spatial prior corresponding very well with the new subject anatomy, referred to as subject-specific atlas. The subject-specific atlas is created using multiple non-rigid registrations with the new subject, and therefore a robust non-rigid alignment of the prior with the image is achieved. The final EM segmentation step ensures a good quality classification of the complicated cortical structures based on intensity. The evaluation of the proposed method shows consistent results superior to both, registration-based and EM-based approaches.
Keywords :
biomedical MRI; brain; expectation-maximisation algorithm; image classification; image registration; image segmentation; medical image processing; EM segmentation step; anatomy; biomedical MRI; brain structures; cortical structures; image segmentation; multiple nonrigid registrations; subject-specific atlas; Anatomy; Brain; Costs; Educational institutions; Image segmentation; Information processing; Labeling; Magnetic resonance imaging; Robustness; Voting; EM segmentation; brain MRI; registration; segmentation; structures;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5192972