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Title: Identification of breast contour for nipple segmentation in breast magnetic resonance images

Purpose: The purpose of this study is to develop a method to simulate the breast contour and segment the nipple in breast magnetic resonance images. Methods: This study first identifies the chest wall and removes the chest part from the breast MR images. Subsequently, the cleavage and its motion artifacts are removed, distinguishing the separate breasts, where the edge points are sampled for curve fitting. Next, a region growing method is applied to find the potential nipple region. Finally, the potential nipple region above the simulated curve can be removed in order to retain the original smooth contour. Results: The simulation methods can achieve the least root mean square error (RMSE) for certain cases. The proposed YBnd and (Dmin+Dmax)/2 methods are significant due toP = 0.000. The breast contour curve detected by the two proposed methods is closer than that determined by the edge detection method. The (Dmin+Dmax)/2 method can achieve the lowest RMSE of 1.1029 on average, while the edge detection method results in the highest RMSE of 6.5655. This is only slighter better than the comparison methods, which implies that the performance of these methods depends upon the conditions of the cases themselves. Under this method, the maximalmore » Dice coefficient is 0.881, and the centroid difference is 0.36 pixels. Conclusions: The contributions of this study are twofold. First, a method was proposed to identify and segment the nipple in breast MR images. Second, a curve-fitting method was used to simulate the breast contour, allowing the breast to retain its original smooth shape.« less
Authors:
 [1] ;  [2] ;  [3] ;  [4]
  1. Department of Information Management, Chien Hsin University of Science and Technology, Taoyuan 320, Taiwan (China)
  2. Department of Chemistry and Biochemistry, University of Texas at Austin, Austin, Texas 78712 (United States)
  3. Department of Information Management, Chien Hsin University of Science and Technology, Taoyuan 320, Taiwan and Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei 110, Taiwan (China)
  4. Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei 110, Taiwan and Comprehensive Breast Health Center, Taipei Medical University Hospital, Taipei 110, Taiwan (China)
Publication Date:
OSTI Identifier:
22251653
Resource Type:
Journal Article
Resource Relation:
Journal Name: Medical Physics; Journal Volume: 41; Journal Issue: 2; Other Information: (c) 2014 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; CHEST; ERRORS; IMAGES; MAGNETIC RESONANCE; MAMMARY GLANDS; NMR IMAGING; SIMULATION