Brain Tumor Boundary Detection in MR Image with Generalized Fuzzy Operator

C. C. Leung; W. F. Chen; P. C.K. Kwok; F. H.Y. Chan

Brain Tumor Boundary Detection in MR Image with Generalized Fuzzy Operator

C. C. Leung, W. F. Chen, P. C.K. Kwok, F. H.Y. Chan

Hong Kong Metropolitan University

Research output: Contribution to conference › Paper › peer-review

10 Citations (Scopus)

Abstract

Boundary detection in MR image with brain tumor is an important image processing technique applied in Radiology for 3D reconstruction. The non-homogeneities density tissue of the brain with tumor can result in achieving the inaccurate location in any boundary detection algorithms. Recently, some studies using the contour deformable model with regional base technique, the performance is insufficient to obtain the fine edge in the tumor, and the considerable error in accuracy is existed. Moreover, even in some of the normal tissue region, edge created by this method has also been encompassed. In this paper, we propose a new approach to detect the boundary of brain tumor based on the generalized fuzzy operator (GFO). One typical example is used for evaluating this method with the contour deformable model.

Original language	English
Pages	1057-1060
Number of pages	4
Publication status	Published - 2003
Event	Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain Duration: 14 Sept 2003 → 17 Sept 2003

Conference

Conference	Proceedings: 2003 International Conference on Image Processing, ICIP-2003
Country/Territory	Spain
City	Barcelona
Period	14/09/03 → 17/09/03

Keywords

Brain tumor
Generalized fuzzy operator
Non-homogeneities density

Cite this

@conference{35983a00b018435490a959e4d2b3c0d3,

title = "Brain Tumor Boundary Detection in MR Image with Generalized Fuzzy Operator",

abstract = "Boundary detection in MR image with brain tumor is an important image processing technique applied in Radiology for 3D reconstruction. The non-homogeneities density tissue of the brain with tumor can result in achieving the inaccurate location in any boundary detection algorithms. Recently, some studies using the contour deformable model with regional base technique, the performance is insufficient to obtain the fine edge in the tumor, and the considerable error in accuracy is existed. Moreover, even in some of the normal tissue region, edge created by this method has also been encompassed. In this paper, we propose a new approach to detect the boundary of brain tumor based on the generalized fuzzy operator (GFO). One typical example is used for evaluating this method with the contour deformable model.",

keywords = "Brain tumor, Generalized fuzzy operator, Non-homogeneities density",

author = "Leung, {C. C.} and Chen, {W. F.} and Kwok, {P. C.K.} and Chan, {F. H.Y.}",

year = "2003",

language = "English",

pages = "1057--1060",

note = "Proceedings: 2003 International Conference on Image Processing, ICIP-2003 ; Conference date: 14-09-2003 Through 17-09-2003",

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TY - CONF

T1 - Brain Tumor Boundary Detection in MR Image with Generalized Fuzzy Operator

AU - Leung, C. C.

AU - Chen, W. F.

AU - Kwok, P. C.K.

AU - Chan, F. H.Y.

PY - 2003

Y1 - 2003

N2 - Boundary detection in MR image with brain tumor is an important image processing technique applied in Radiology for 3D reconstruction. The non-homogeneities density tissue of the brain with tumor can result in achieving the inaccurate location in any boundary detection algorithms. Recently, some studies using the contour deformable model with regional base technique, the performance is insufficient to obtain the fine edge in the tumor, and the considerable error in accuracy is existed. Moreover, even in some of the normal tissue region, edge created by this method has also been encompassed. In this paper, we propose a new approach to detect the boundary of brain tumor based on the generalized fuzzy operator (GFO). One typical example is used for evaluating this method with the contour deformable model.

AB - Boundary detection in MR image with brain tumor is an important image processing technique applied in Radiology for 3D reconstruction. The non-homogeneities density tissue of the brain with tumor can result in achieving the inaccurate location in any boundary detection algorithms. Recently, some studies using the contour deformable model with regional base technique, the performance is insufficient to obtain the fine edge in the tumor, and the considerable error in accuracy is existed. Moreover, even in some of the normal tissue region, edge created by this method has also been encompassed. In this paper, we propose a new approach to detect the boundary of brain tumor based on the generalized fuzzy operator (GFO). One typical example is used for evaluating this method with the contour deformable model.

KW - Brain tumor

KW - Generalized fuzzy operator

KW - Non-homogeneities density

UR - http://www.scopus.com/inward/record.url?scp=0344271845&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0344271845

SP - 1057

EP - 1060

T2 - Proceedings: 2003 International Conference on Image Processing, ICIP-2003

Y2 - 14 September 2003 through 17 September 2003

ER -

Brain Tumor Boundary Detection in MR Image with Generalized Fuzzy Operator

Abstract

Conference

Keywords

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