IEEE Trans Pattern Anal Mach Intell - Groupwise Elastic Registration by a New Sparsity-Promoting Metric: Application to the Alignment of Cardiac Magnetic Resonance Perfusion Images.

Tópicos

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Resumo

This paper proposes a methodology for the joint alignment of a sequence of images based on a groupwise registration procedure by using a new family of metrics that exploit the expected sparseness of the temporal intensity curves corresponding to the aligned points. Therefore, this methodology is able to tackle the alignment of temporal sequences of images in which the represented phenomenon varies in time. Specifically, we have applied it to the correction of motion in contrast-enhanced first-pass perfusion cardiac magnetic resonance images. The time sequence is elastically registered as a whole by using the aforementioned family of multi-image metrics and jointly optimizing the parameters of the transformations involved. The proposed metrics are able to cope with dynamic changes in the intensity content of corresponding points in the sequence guided by the assumption that these changes allow for a sparse representation in a properly selected frame. Results have shown the statistically significant improvement in performance of the proposed metric with respect to previous groupwise registration metrics for the problem at hand, which is especially relevant in order to correct for elastic deformations.

Resumo Limpo

paper propos methodolog joint align sequenc imag base groupwis registr procedur use new famili metric exploit expect spars tempor intens curv correspond align point therefor methodolog abl tackl align tempor sequenc imag repres phenomenon vari time specif appli correct motion contrastenhanc firstpass perfus cardiac magnet reson imag time sequenc elast regist whole use aforement famili multiimag metric joint optim paramet transform involv propos metric abl cope dynam chang intens content correspond point sequenc guid assumpt chang allow spars represent proper select frame result shown statist signific improv perform propos metric respect previous groupwis registr metric problem hand especi relev order correct elast deform

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