DocumentCode :
2029443
Title :
Emerging segmentation of neuroanatomical structures in magnetic resonance images
Author :
Rajapakse, Jagath C. ; Tan, Choong Leong
Author_Institution :
Sch. of Appl. Sci., Nanyang Technol. Univ., Singapore
Volume :
3
fYear :
1999
fDate :
1999
Firstpage :
910
Abstract :
The emerging scheme (J.C. Rajapakse and F. Kruggel) is used to segment neuroanatomical structures in magnetic resonance (MR) head scans. Emerging is a region growing technique which is guided by the edgeness profile of the image. It is similar to the watershed algorithm (L. Vincent and P. Soille, 1991), but allows splitting of regions in catchment basins and merging at watershed boundaries. Region boundaries in MR head scans are fuzzy and compositions of tissues of some structures render varying intensity patterns. These characteristics and scanner limitations pose difficulties to unsupervised segmentation of MR head scans. We present emerging as a segmentation technique that overcomes these difficulties to produce reasonable segmentations of neuroanatomical structures
Keywords :
biomedical MRI; brain; image segmentation; medical image processing; neurophysiology; catchment basins; edgeness profile; emerging scheme; emerging segmentation; magnetic resonance head scans; magnetic resonance images; neuroanatomical structure segmentation; region boundaries; region growing technique; region splitting; scanner limitations; tissue compositions; unsupervised segmentation; varying intensity patterns; watershed algorithm; Brain; Humans; Image segmentation; Magnetic fields; Magnetic heads; Magnetic resonance; Magnetic resonance imaging; Parkinson´s disease; Rendering (computer graphics); Shape measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
Type :
conf
DOI :
10.1109/ICONIP.1999.844658
Filename :
844658
Link To Document :
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