DocumentCode :
2720155
Title :
Neonatal brain MRI segmentation by building multi-region-multi-reference atlases
Author :
Shi, Feng ; Yap, Pew-Thian ; Fan, Yong ; Gilmore, John H. ; Lin, Weili ; Shen, Dinggang
Author_Institution :
Dept. of Radiol., Univ. of North Carolina at Chapel Hill, Chapel Hill, NC, USA
fYear :
2010
fDate :
14-17 April 2010
Firstpage :
964
Lastpage :
967
Abstract :
Neonatal brain MRI segmentation is challenging due to the poor image quality. Existing population atlases used for guiding segmentation are usually constructed by averaging all images in a population with no preference. However, such approaches diminish the important local inter-subject structural variability. In this paper, we propose a multi-region-multi-reference strategy for atlas building from a population. In brief, the brain is first parcellated into multiple anatomical regions, and for each region, the population images are classified into different sub-populations. The exemplars in sub-populations serve as structural references when determining the most suitable regional atlas for a to-be-segmented image. A final atlas is generated by combining all selected regional atlases, and a joint registration-segmentation strategy is employed for tissue segmentation. Experimental results demonstrate that segmentation with our atlas achieves high average tissue overlap rates with manual golden standard of 0.86 (SD 0.02) for gray matter (GM) and 0.83 (SD 0.03) for white matter (WM), and outperforms other atlases in comparison.
Keywords :
biological tissues; biomedical MRI; brain; image segmentation; medical image processing; neurophysiology; atlas building; gray matter; image segmentation; joint registration-segmentation strategy; multiple anatomical regions; multiregion-multireference atlas; neonatal brain MRI segmentation; structural references; tissue segmentation; white matter; Brain; Buildings; Computational efficiency; Fuses; Image segmentation; Magnetic resonance imaging; Pediatrics; Psychiatry; Radiology; Voting; Tissue segmentation; joint registration-segmentation; multiple atlases; neonatal imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location :
Rotterdam
ISSN :
1945-7928
Print_ISBN :
978-1-4244-4125-9
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2010.5490148
Filename :
5490148
Link To Document :
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