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Artificial Intelligence
Volume 114, Issues 1-2, October 1999, Pages 125-156
 
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doi:10.1016/S0004-3702(99)00073-9    How to Cite or Link Using DOI (Opens New Window)
Copyright © 1999 Elsevier Science B.V. All rights reserved.

A non-rigid registration algorithm for dynamic breast MR images

Paul M. HaytonCorresponding Author Contact Information, E-mail The Corresponding Author, a, Michael Bradya, Stephen M. Smithb and Niall Moorec

a Department of Engineering Science, Oxford University, Oxford OX1 3PJ, UK b Oxford Centre for Functional Magnetic Resonanse Imaging of the Brain (FMRIB), Department of Clinical Neurology, Oxford University, Oxford, UK c MRI Centre, The John Radcliffe Hospital, Oxford, UK

Received 19 April 1999;
revised 28 June 1999.
Available online 29 November 1999.

Abstract

Magnetic resonance image analysis is a promising technique for diagnosing breast cancer, particularly in women for whom X-ray mammography is ineffective. If breast motion is not corrected for, diagnostic accuracy is significantly reduced. In this paper, we analyse the kinds of motion that arise during image formation and we describe a model based non-rigid registration algorithm to estimate and correct for breast motion. Registration of breast MR images is complicated by the use of a contrast agent which results in a non-uniform increase in intensity across the image. The work described here forms part of an implemented breast MR analysis system which allows automatic detection and segmentation of regions of focal enhancement and non-rigid image registration.

Author Keywords: Optic flow ; 2D motion estimation ; Correlation ; Uncertainty ; Contrast-enhanced MRI

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Corresponding Author Contact Information Corresponding author; email: pmh@robots.ox.ac.uk


Artificial Intelligence
Volume 114, Issues 1-2, October 1999, Pages 125-156
 
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