A fast deformable region model for brain tumor boundary extraction

Author

Law, Albert K W ; Lam, F.K. ; Chan, Francis H Y

Author_Institution

Dept. of Electr. & Electron. Eng., Hong Kong Univ., China

Volume

2

fYear

2002

fDate

2002

Firstpage

1055

Abstract

We present a modified deformable region model for extraction of a brain tumor boundary in 2D MR images. The deformable region model tolerates a rough initial plan when compared with the active contour model. However, it is time consuming to compute and compare the gray level distribution of the object and all its boundary points. Using a point sampling technique, the number of boundary point processed is greatly reduced. Performance of our modified deformable region model is evaluated on a MR image. The modified model is fast while similar results are obtained.

Keywords

biomedical MRI; brain models; edge detection; image sampling; medical image processing; tumours; 2D MR images; active contour model; brain tumor boundary extraction; fast deformable region model; gray level distribution; modified model; point sampling technique; rough initial plan; Active contours; Brain modeling; Data mining; Deformable models; Distributed computing; Image sampling; Medical treatment; Neoplasms; Paints; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1106273

Filename

1106273