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Abstract #3601

Evaluation of various image descriptor for motion correction between pre- and post-injected cardiac T1 maps, based on a demon algorithm

Habib Rebbah1, Anaîs Bernard1, Julien Rouyer1, and Timothé Boutelier1
1Research & Innovation, Olea Medical, La Ciotat, France

The registration of pre- and post-injected T1 maps is a multimodal image registration problem. To employ algorithms based on intensity preservation assumption, one need to use image descriptor. By comparing six of them, we aim to choose the most adequate one to our issue. We conducted our analyzes using a STEMI-patients database. The Sobel filter emerge as the most accurate and precise descriptor. The study of the results shows that the position of the acquired slice has no effect on the performances of the algorithm, while the size of the lesion and the cross-slice motion are inversely correlated to them

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