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

Andrew Hill; Andrew Mehnert; Stuart Crozier; Carlos Leung; Stephen Wilson; Kerry McMahon; Dominic Kennedy

doi:10.1109/IEMBS.2006.259958

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

Andrew Hill, Andrew Mehnert, Stuart Crozier, Carlos Leung, Stephen Wilson, Kerry McMahon, Dominic Kennedy

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

9 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	3049-3052
Number of pages	4
ISBN (Print)	1424400325, 9781424400324
DOIs	https://doi.org/10.1109/IEMBS.2006.259958
Publication status	Published - 1 Dec 2006
Externally published	Yes
Event	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States Duration: 30 Aug 2006 → 3 Sept 2006

Conference

Conference	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/Territory	United States
City	New York, NY
Period	30/08/06 → 3/09/06

Access to Document

10.1109/IEMBS.2006.259958

Cite this

Hill, A., Mehnert, A., Crozier, S., Leung, C., Wilson, S., McMahon, K., & Kennedy, D. (2006). Dynamic breast MRI: Image registration and its impact on enhancement curve estimation. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 (pp. 3049-3052). Article 4030026 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IEMBS.2006.259958

@inproceedings{2d7d47091f49497ca9cdfc30712d6db0,

title = "Dynamic breast MRI: Image registration and its impact on enhancement curve estimation",

abstract = "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.",

author = "Andrew Hill and Andrew Mehnert and Stuart Crozier and Carlos Leung and Stephen Wilson and Kerry McMahon and Dominic Kennedy",

year = "2006",

month = dec,

day = "1",

doi = "10.1109/IEMBS.2006.259958",

language = "English",

isbn = "1424400325",

pages = "3049--3052",

booktitle = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 ; Conference date: 30-08-2006 Through 03-09-2006",

}

Hill, A, Mehnert, A, Crozier, S, Leung, C, Wilson, S, McMahon, K & Kennedy, D 2006, Dynamic breast MRI: Image registration and its impact on enhancement curve estimation. in 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06., 4030026, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 3049-3052, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, United States, 30/08/06. https://doi.org/10.1109/IEMBS.2006.259958

Dynamic breast MRI: Image registration and its impact on enhancement curve estimation. / Hill, Andrew; Mehnert, Andrew; Crozier, Stuart et al.
28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. USA: IEEE, Institute of Electrical and Electronics Engineers, 2006. p. 3049-3052 4030026.

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

TY - GEN

T1 - Dynamic breast MRI

T2 - 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06

AU - Hill, Andrew

AU - Mehnert, Andrew

AU - Crozier, Stuart

AU - Leung, Carlos

AU - Wilson, Stephen

AU - McMahon, Kerry

AU - Kennedy, Dominic

PY - 2006/12/1

Y1 - 2006/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=34047183862&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2006.259958

DO - 10.1109/IEMBS.2006.259958

M3 - Conference paper

C2 - 17946541

AN - SCOPUS:34047183862

SN - 1424400325

SN - 9781424400324

SP - 3049

EP - 3052

BT - 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - USA

Y2 - 30 August 2006 through 3 September 2006

ER -

Hill A, Mehnert A, Crozier S, Leung C, Wilson S, McMahon K et al. Dynamic breast MRI: Image registration and its impact on enhancement curve estimation. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. USA: IEEE, Institute of Electrical and Electronics Engineers. 2006. p. 3049-3052. 4030026 doi: 10.1109/IEMBS.2006.259958

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

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this