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Titlebook: Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges; 5th International Wo Oscar Camara,Tommaso Mans

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Advanced Normalization Tools for Cardiac Motion Correctiond on the publicly available Advanced Normalization Tools (ANTs) specifically tailored for this problem domain. We provide a brief description with actual code calls to facilitate reproducibility. Time plots and . values, based on the validation methodology of [.], are also provided to determine clin
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Deformable and Rigid Model-Based Image Registration for Quantitative Cardiac Perfusion that changing contrast between frames makes it difficult to register the images automatically.. . A multiple step approach was employed. First, a region around the heart was identified out automatically in order to focus the registration. Then we performed rigid shifts between frames with a cross c
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Automatic Perfusion Analysis Using Phase-Based Registration and Object-Based Image Analysissessment of the image sequences for clinical application. To this end an automatic preprocessing including ROI detection and outlier removal has been combined with a phase-based registration approach and an object-based myocardium segmentation. The suggested processing pipeline has been tested with
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Left Ventricular Diastolic and Systolic Material Property Estimation from Image Dataing or disease conditions. However, to replicate the regional mechanics of the heart accurately, both the nonlinear passive and active material properties must be estimated reliably. In this paper, automated methods were used to determine passive material properties while simultaneously computing th
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Connection Forms for Beating the Heartticular volumetric geometry. In our finite volume mechanical simulation we use Maurer-Cartan one-forms to add a geometrical consistency term to control the rate at which myofiber orientation changes in the direction perpendicular to the heart wall. This allows us to estimate material properties rela
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