Tumor Boundary Extraction in Multislice MR Brain Images Using Region and Contour Deformation

Shatin, N.T., Hong Kong June 10-June 12

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http://doi.ieeecomputersociety.org/10.1109/MIAR.2001.930283

International Workshop on Medical Ima ...

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	ASCII Text	x
	Albert K.W. Law, H. Zhu, F.K. Lam, Francis H.Y. Chan, Brent C.B. Chan, P.P. Iu, "Tumor Boundary Extraction in Multislice MR Brain Images Using Region and Contour Deformation," Medical Imaging and Augmented Reality, International Workshop on, pp. 0183, International Workshop on Medical Imaging and Augmented Reality (MIAR '01), 2001.

	BibTex	x
	@article{ 10.1109/MIAR.2001.930283, author = {Albert K.W. Law and H. Zhu and F.K. Lam and Francis H.Y. Chan and Brent C.B. Chan and P.P. Iu}, title = {Tumor Boundary Extraction in Multislice MR Brain Images Using Region and Contour Deformation}, journal ={Medical Imaging and Augmented Reality, International Workshop on}, volume = {0}, year = {2001}, isbn = {0-7695-1113-9}, pages = {0183}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIAR.2001.930283}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Medical Imaging and Augmented Reality, International Workshop on TI - Tumor Boundary Extraction in Multislice MR Brain Images Using Region and Contour Deformation SN - 0-7695-1113-9 SP EP A1 - Albert K.W. Law, A1 - H. Zhu, A1 - F.K. Lam, A1 - Francis H.Y. Chan, A1 - Brent C.B. Chan, A1 - P.P. Iu, PY - 2001 KW - deformable model KW - tumor boundary KW - MRI sequence. VL - 0 JA - Medical Imaging and Augmented Reality, International Workshop on ER -

Albert K.W. Law, The University of Hong Kong

H. Zhu, The University of Hong Kong

F.K. Lam, The University of Hong Kong

Francis H.Y. Chan, The University of Hong Kong

Brent C.B. Chan, Kwong Wah Hospital

P.P. Iu, Kwong Wah Hospital

Abstract: In this paper, we present a new approach for the extraction of brain tumor boundary in a series of 2D MR image slices. The shape and position of tumor in one slice could be assumed to be similar to that in its neighboring slices. Using this correlation between consecutive images, the initial plan applied for each slice is extracted from the resulting boundary of the previous slice. The tumor boundary is located using region and contour deformation, which tolerates a rough initial plan. Therefore, only one coarse manual initial plan is required for the whole series of MR image slices. Performance of our approach is evaluated on MR image set. Comparisons with manual tracing show the accuracy and effectiveness of our approach.

Index Terms:

deformable model, tumor boundary, MRI sequence.

Citation:

Albert K.W. Law, H. Zhu, F.K. Lam, Francis H.Y. Chan, Brent C.B. Chan, P.P. Iu, "Tumor Boundary Extraction in Multislice MR Brain Images Using Region and Contour Deformation," miar, pp.0183, International Workshop on Medical Imaging and Augmented Reality (MIAR '01), 2001

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