De-enhancing the dynamic contrast-enhanced breast MRI for robust registration

Yuanjie Zheng; Jingyi Yu; Chandra Kambhamettu; Sarah Englander; Mitchell D. Schnall; Dinggang Shen

doi:10.1007/978-3-540-75757-3_113

De-enhancing the dynamic contrast-enhanced breast MRI for robust registration

Yuanjie Zheng, Jingyi Yu, Chandra Kambhamettu, Sarah Englander, Mitchell D. Schnall, Dinggang Shen

Department of Brain and Cognitive Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

30 Citations (Scopus)

Abstract

Dynamic enhancement causes serious problems for registration of contrast enhanced breast MRI, due to variable uptakes of agent on different tissues or even same tissues in the breast. We present an iterative optimization algorithm to de-enhance the dynamic contrastenhanced breast MRI and then register them for avoiding the effects of enhancement on image registration. In particular, the spatially varying enhancements are modeled by a Markov Random Field, and estimated by a locally smooth function with boundaries using a graph cut algorithm. The de-enhanced images are then registered by conventional Bspline based registration algorithm. These two steps benefit from each other and are repeated until the results converge. Experimental results show that our two-step registration algorithm performs much better than conventional mutual information based registration algorithm. Also, the effects of tumor shrinking in the conventional registration algorithms can be effectively avoided by our registration algorithm.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings
Publisher	Springer Verlag
Pages	933-941
Number of pages	9
Volume	4791 LNCS
Edition	PART 1
ISBN (Print)	9783540757566
DOIs	https://doi.org/10.1007/978-3-540-75757-3_113
Publication status	Published - 2007
Event	10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007 - Brisbane, Australia Duration: 2007 Oct 29 → 2007 Nov 2

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	4791 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007
Country/Territory	Australia
City	Brisbane
Period	07/10/29 → 07/11/2

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-75757-3_113

Cite this

Zheng, Y., Yu, J., Kambhamettu, C., Englander, S., Schnall, M. D., & Shen, D. (2007). De-enhancing the dynamic contrast-enhanced breast MRI for robust registration. In Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings (PART 1 ed., Vol. 4791 LNCS, pp. 933-941). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4791 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-540-75757-3_113

De-enhancing the dynamic contrast-enhanced breast MRI for robust registration. / Zheng, Yuanjie; Yu, Jingyi; Kambhamettu, Chandra et al.
Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. Vol. 4791 LNCS PART 1. ed. Springer Verlag, 2007. p. 933-941 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4791 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zheng, Y, Yu, J, Kambhamettu, C, Englander, S, Schnall, MD & Shen, D 2007, De-enhancing the dynamic contrast-enhanced breast MRI for robust registration. in Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1 edn, vol. 4791 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4791 LNCS, Springer Verlag, pp. 933-941, 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007, Brisbane, Australia, 07/10/29. https://doi.org/10.1007/978-3-540-75757-3_113

Zheng Y, Yu J, Kambhamettu C, Englander S, Schnall MD, Shen D. De-enhancing the dynamic contrast-enhanced breast MRI for robust registration. In Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1 ed. Vol. 4791 LNCS. Springer Verlag. 2007. p. 933-941. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-540-75757-3_113

Zheng, Yuanjie ; Yu, Jingyi ; Kambhamettu, Chandra et al. / De-enhancing the dynamic contrast-enhanced breast MRI for robust registration. Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. Vol. 4791 LNCS PART 1. ed. Springer Verlag, 2007. pp. 933-941 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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De-enhancing the dynamic contrast-enhanced breast MRI for robust registration

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