Breast Tissue 3D Segmentation and Visualization on MRI
Joint Authors
Cui, Xiangfei
Song, Hong
Sun, Feifei
Source
International Journal of Biomedical Imaging
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-29
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Song, Hong& Cui, Xiangfei& Sun, Feifei. 2013. Breast Tissue 3D Segmentation and Visualization on MRI. International Journal of Biomedical Imaging،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-504029
Modern Language Association (MLA)
Song, Hong…[et al.]. Breast Tissue 3D Segmentation and Visualization on MRI. International Journal of Biomedical Imaging No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-504029
American Medical Association (AMA)
Song, Hong& Cui, Xiangfei& Sun, Feifei. Breast Tissue 3D Segmentation and Visualization on MRI. International Journal of Biomedical Imaging. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-504029
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504029
