DocumentCode :
698819
Title :
Hybrid segmentation of the hippocampus in MR images
Author :
Wei Wei Lee ; Richardson, Iain ; Ken Gow ; Yafan Zhao ; Staff, Roger
Author_Institution :
Robert Gordon Univ., Aberdeen, UK
fYear :
2005
fDate :
4-8 Sept. 2005
Firstpage :
1
Lastpage :
4
Abstract :
Segmentation and visualisation of the hippocampus can assist with early detection and intervention for a number of brain diseases. This paper describes a semi-automatic segmentation approach that produces accurate results with a significant reduction in operator effort compared with manual segmentation. A Geometric Deformable Model incorporates global constraints to solve many of the problems associated with previous methods. The results of our hybrid segmentation model show a good correspondence with manual segmentation by an expert operator.
Keywords :
biomedical MRI; brain; diseases; image segmentation; medical disorders; medical image processing; neurophysiology; MR imaging; brain diseases; geometric deformable model; hippocampus segmentation; hippocampus visualisation; hybrid segmentation model; semiautomatic segmentation approach; Brain modeling; Computational modeling; Deformable models; Hippocampus; Image segmentation; Shape; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1
Type :
conf
Filename :
7078413
Link To Document :
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