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Proceedings Paper

Image segmentation and 3D visualization for MRI mammography
Author(s): Lihua Li; Yong Chu; Angela F. Salem; Robert A. Clark M.D.
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Paper Abstract

MRI mammography has a number of advantages, including the tomographic, and therefore three-dimensional (3-D) nature, of the images. It allows the application of MRI mammography to breasts with dense tissue, post operative scarring, and silicon implants. However, due to the vast quantity of images and subtlety of difference in MR sequence, there is a need for reliable computer diagnosis to reduce the radiologist's workload. The purpose of this work was to develop automatic breast/tissue segmentation and visualization algorithms to aid physicians in detecting and observing abnormalities in breast. Two segmentation algorithms were developed: one for breast segmentation, the other for glandular tissue segmentation. In breast segmentation, the MRI image is first segmented using an adaptive growing clustering method. Two tracing algorithms were then developed to refine the breast air and chest wall boundaries of breast. The glandular tissue segmentation was performed using an adaptive thresholding method, in which the threshold value was spatially adaptive using a sliding window. The 3D visualization of the segmented 2D slices of MRI mammography was implemented under IDL environment. The breast and glandular tissue rendering, slicing and animation were displayed.

Paper Details

Date Published: 9 May 2002
PDF: 10 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002);
Show Author Affiliations
Lihua Li, H. Lee Moffitt Cancer Ctr. and Research Institute (United States)
Yong Chu, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute and Univ. of (United States)
Angela F. Salem, H. Lee Moffitt Cancer Ctr. and Research Institute (United States)
Robert A. Clark M.D., H. Lee Moffitt Cancer Ctr. and Research Institute (United States)

Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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