2009
DOI: 10.1007/978-3-642-04268-3_100
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A General PDE-Framework for Registration of Contrast Enhanced Images

Abstract: Abstract. This paper presents a general PDE-framework for registration of contrast enhanced images. The approach directly applies the idea of separating the contrast enhancement term from the images in the regularization terms. In our formulation, we stay consistent with existing non-parametric image registration techniques, however, we carry an additional contrast enhancement term throughout. A mathematically rigorous approach is pursued which can exploit various forms of regularization. In this paper, our ex… Show more

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Cited by 11 publications
(2 citation statements)
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“…A confounding factor in DCE-MRI, from the point of view of registration, is the change in intensity over time generated by the contrast enhancement. This issue has been tackled by a number of authors who propose a variety of methods to separate this enhancement from the effects of patient motion (Ebrahimi andMartel 2009, Melbourne et al 2011a). The application to radiotherapy planning was proposed by Alderliesten et al (2013), by computing the large deformation between prone pre-operative and supine planning scans.…”
Section: Breast Image Registration Topicsmentioning
confidence: 99%
“…A confounding factor in DCE-MRI, from the point of view of registration, is the change in intensity over time generated by the contrast enhancement. This issue has been tackled by a number of authors who propose a variety of methods to separate this enhancement from the effects of patient motion (Ebrahimi andMartel 2009, Melbourne et al 2011a). The application to radiotherapy planning was proposed by Alderliesten et al (2013), by computing the large deformation between prone pre-operative and supine planning scans.…”
Section: Breast Image Registration Topicsmentioning
confidence: 99%
“…For example, several methods in Refs. [13][14][15] introduce the brightness shift term in the optical flow equation to account for the dynamic intensity changes. Besides, an iterative optimization algorithm has also been presented in Ref.…”
Section: Introductionmentioning
confidence: 99%