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Abstract #3855

Isotropic Whole-Heart Cine Imaging with Atlas-Based Segmentation

Declan P. O'Regan1, Wenjia Bai2, Wenzhe Shi2, Giuliana Durighel1, Tamara Diamond1, Daniel Rueckert2, Stuart A. Cook1

1Robert Steiner MRI Unit, Imperial College London, London, United Kingdom; 2Department of Computing, Imperial College London, United Kingdom

 

Keywords

acceleration agreement anatomy aortic apex approaches array associations assumptions atlas atlases automated axial axis background balanced bandwidth best bias biomedical blast blood bolus breath cardiac channel cine classified closest coil college comparable comparing computing consistent continuous contrast control controls cook correctly counterpart cubes dataset deformation derived determined diamond dilated dimensional distance enable enables encoding equation feasible field filter find foundation free gadolinium genetic geometric healthy heart hold homogeneous identified imperial inclusion intensities isotropic kingdom limits made manual mapped maps marching mathematical modeling models myocardium none organ orientation parametric partial patient patients phenotypes physiology pixel plan pool pooled populations potential precession probabilistic propagated receive reception reconstructed reconstruction reduce regional registered registration related relatively resolution respective rigid scout section sections segment segmentation sense short sievers slice slightly software statistical steady steiner stroke studies subject subjects supported surface surfaces system thirteen towards typical unit variation variations velocity ventricle ventricular volume volumes volunteers wall whole