Automated breast segmentation of fat and water MR images using dynamic programming

To develop and test an algorithm that outlines the breast boundaries using information from fat and water magnetic resonance images. Three algorithms were implemented and tested using registered fat and water magnetic resonance images. Two of the segmentation algorithms are simple extensions of the...

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Bibliographic Details
Published in:	Academic radiology Vol. 22; no. 2; p. 139
Main Authors:	Rosado-Toro, José A, Barr, Tomoe, Galons, Jean-Philippe, Marron, Marilyn T, Stopeck, Alison, Thomson, Cynthia, Thompson, Patricia, Carroll, Danielle, Wolf, Eszter, Altbach, María I, Rodríguez, Jeffrey J
Format:	Journal Article
Language:	English
Published:	United States 01.02.2015
Subjects:	Adipose Tissue - pathology Algorithms Body Water Breast Breast Neoplasms - pathology Female Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Magnetic Resonance Imaging - methods Pattern Recognition, Automated - methods Programming, Linear Reproducibility of Results Sensitivity and Specificity Subtraction Technique breast MRI dynamic programming k-means Automated breast segmentation fat-water MRI
ISSN:	1878-4046, 1878-4046
Online Access:	Get more information
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