Dynamic breast MRI: Image registration and its impact on enhancement curve estimation

Hill, Andrew, Mehnert, Andrew, Crozier, Stuart, Leung, Carlos, Wilson, Stephen, McMahon, Kerry and Kennedy, Dominic (2006). Dynamic breast MRI: Image registration and its impact on enhancement curve estimation. In: Proceedings of the 28th IEEE Engineering in Medicine and Biology Society Annual International Conference. 28th Annual International Conference IEEE Engineering in Medicine and Biology Society (EMBS), New York, U.S.A., (3049-3052). 30 August-3 September 2006. doi:10.1109/IEMBS.2006.259958


Author Hill, Andrew
Mehnert, Andrew
Crozier, Stuart
Leung, Carlos
Wilson, Stephen
McMahon, Kerry
Kennedy, Dominic
Title of paper Dynamic breast MRI: Image registration and its impact on enhancement curve estimation
Conference name 28th Annual International Conference IEEE Engineering in Medicine and Biology Society (EMBS)
Conference location New York, U.S.A.
Conference dates 30 August-3 September 2006
Proceedings title Proceedings of the 28th IEEE Engineering in Medicine and Biology Society Annual International Conference   Check publisher's open access policy
Journal name 2006 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-15   Check publisher's open access policy
Place of Publication Piscataway, NJ, U.S.A.
Publisher IEEE - Institute of Electrical Electronics Engineers Inc.
Publication Year 2006
Sub-type Fully published paper
DOI 10.1109/IEMBS.2006.259958
ISBN 9781424400324
ISSN 1557-170X
Start page 3049
End page 3052
Total pages 4
Collection year 2006
Language eng
Abstract/Summary A novel algorithm for performing registration of dynamic contrast-enhanced (DCE) MRI data of the breast is presented. It is based on an algorithm known as iterated dynamic programming originally devised to solve the stereo matching problem. Using artificially distorted DCE-MRI breast images it is shown that the proposed algorithm is able to correct for movement and distortions over a larger range than is likely to occur during routine clinical examination. In addition, using a clinical DCE-MRI data set with an expertly labeled suspicious region, it is shown that the proposed algorithm significantly reduces the variability of the enhancement curves at the pixel level yielding more pronounced uptake and washout phases.
Subjects 280203 Image Processing
730108 Cancer and related disorders
Keyword Biomedical MRI
Dynamic breast MRI
Artificially distorted breast images
Distortion correction
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Also published as Vols 1-15 Pages: 4331-4334, 2006 ISBN 9781424400324

 
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Created: Thu, 23 Aug 2007, 22:30:22 EST