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

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

Research output: Chapter in Book/Report/Conference proceedingChapter

23 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 contrast-enhanced 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 B-spline 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 languageEnglish
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages933-941
Number of pages9
Volume10
EditionPt 1
Publication statusPublished - 2007 Dec 1
Externally publishedYes

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Breast
Image Enhancement
Neoplasms

ASJC Scopus subject areas

  • Medicine(all)

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 : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 1 ed., Vol. 10, pp. 933-941)

De-enhancing the dynamic contrast-enhanced breast MRI for robust registration. / Zheng, Yuanjie; Yu, Jingyi; Kambhamettu, Chandra; Englander, Sarah; Schnall, Mitchell D.; Shen, Dinggang.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 10 Pt 1. ed. 2007. p. 933-941.

Research output: Chapter in Book/Report/Conference proceedingChapter

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 : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 1 edn, vol. 10, pp. 933-941.
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 : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 1 ed. Vol. 10. 2007. p. 933-941
Zheng, Yuanjie ; Yu, Jingyi ; Kambhamettu, Chandra ; Englander, Sarah ; Schnall, Mitchell D. ; Shen, Dinggang. / De-enhancing the dynamic contrast-enhanced breast MRI for robust registration. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 10 Pt 1. ed. 2007. pp. 933-941
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