Breast tissue 3D segmentation and visualization on MRI

Hong Song; Xiangfei Cui; Feifei Sun

doi:10.1155/2013/859746

Breast tissue 3D segmentation and visualization on MRI

Hong Song^*, Xiangfei Cui, Feifei Sun

^*Corresponding author for this work

School of Computer Science and Technology

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

Tissue segmentation and visualization are useful for breast lesion detection and quantitative analysis. In this paper, a 3D segmentation algorithm based on Kernel-based Fuzzy C-Means (KFCM) is proposed to separate the breast MR images into different tissues. Then, an improved volume rendering algorithm based on a new transfer function model is applied to implement 3D breast visualization. Experimental results have been shown visually and have achieved reasonable consistency.

Original language	English
Article number	859746
Journal	International Journal of Biomedical Imaging
Volume	2013
DOIs	https://doi.org/10.1155/2013/859746
Publication status	Published - 2013

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title = "Breast tissue 3D segmentation and visualization on MRI",

abstract = "Tissue segmentation and visualization are useful for breast lesion detection and quantitative analysis. In this paper, a 3D segmentation algorithm based on Kernel-based Fuzzy C-Means (KFCM) is proposed to separate the breast MR images into different tissues. Then, an improved volume rendering algorithm based on a new transfer function model is applied to implement 3D breast visualization. Experimental results have been shown visually and have achieved reasonable consistency.",

author = "Hong Song and Xiangfei Cui and Feifei Sun",

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AU - Song, Hong

AU - Cui, Xiangfei

AU - Sun, Feifei

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AB - Tissue segmentation and visualization are useful for breast lesion detection and quantitative analysis. In this paper, a 3D segmentation algorithm based on Kernel-based Fuzzy C-Means (KFCM) is proposed to separate the breast MR images into different tissues. Then, an improved volume rendering algorithm based on a new transfer function model is applied to implement 3D breast visualization. Experimental results have been shown visually and have achieved reasonable consistency.

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VL - 2013

JO - International Journal of Biomedical Imaging

JF - International Journal of Biomedical Imaging

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Breast tissue 3D segmentation and visualization on MRI

Abstract

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