Reconstruction of three-dimensional breast-tumor model using multispectral gradient vector flow snake method

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Title:	Reconstruction of three-dimensional breast-tumor model using multispectral gradient vector flow snake method
Authors:	Sheng-Chih Yang, Cheng-Yi Yu, Cheng-Jian Lin, Hsueh-Yi Lin, Chi-Yuan Lin
Contributors:	圖書館
Keywords:	Three-dimensional model reconstruction Contour detection Multispectral gradient vector flow snake Breast magnetic resonance image Breast needle localization
Date:	2015-04
Issue Date:	2016-10-20 14:45:05 (UTC+8)
Abstract:	In this study, we have proposed a three-dimensional (3D) model reconstruction system for breast tumors. The proposed system can establish an accurate 3D model of tumors, which will serve as a diagnostic reference for physicians and also address the shortcomings of the traditional breast needle localization method and other localization methods reported in previous studies. This developed system uses multispectral breast magnetic resonance images as input and detects the contour of the tumor in different sections using an active contour method — multispectral gradient vector flow snake (MGVFS) method. Thus, the system constructs a 3D model of only the tumor is contained in a breast surface model and excludes other tissues. Since the accuracy of the reconstructed 3D model depends on the accuracy of the tumor contour detection, for confirming the results obtained with the MGVFS method, we conducted experiments to evaluate its accuracy in contour detection, and compared the results with those traditional contour detection methods. Our results demonstrate that the MGVFS method has the highest accuracy in contour detection, with a correct contour detection rate as high as 99.79%
Relation:	Journal of Applied Research and Technology Volume 13, Issue 2, April 2015, Pages 279–290
Appears in Collections:	[Department of Computer Science and Information Engineering] 【資訊工程系所】期刊論文

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