DocumentCode
2973286
Title
A deformable region model for locating the boundary of brain tumor
Author
Zhu, Hui ; Chan, Francis H Y ; Lam, F.K. ; Poon, Paul W F
Author_Institution
Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
Volume
1
fYear
1995
fDate
20-25 Sep 1995
Firstpage
411
Abstract
We propose a new deformable region model to represent a brain tumor in MRI, and use a shrinking-growing method to locate its boundary from a designated initial plan. The shrinking-growing process maximizes the area of an object under the condition that the object and its boundary have the same gray level distributions. Compared to the deformable contour models (also called active contour model, or snake), our method dose not require the initial plan to be in as close proximity to the boundary as in contour models
Keywords
biomedical NMR; brain; edge detection; iterative methods; medical image processing; MRI; brain tumor boundary location; deformable region model; gray level distributions; initial plan; shrinking-growing method; Active contours; Biomedical imaging; Brain modeling; Deformable models; Design engineering; Image segmentation; Neoplasms; Physiology; Pixel; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location
Montreal, Que.
Print_ISBN
0-7803-2475-7
Type
conf
DOI
10.1109/IEMBS.1995.575175
Filename
575175
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