2018/10/15 by Caroline H. Roney, Ali Pashaei, Roney, Caroline H +15 · 5 citations
Medicine · #FOS: Biological sciences #FOS: Physical sciences #Medical Physics (physics.med-ph) #Neurological disorders and treatments #Tissues and Organs (q-bio.TO)
paper · pdf · doi:10.48550/arxiv.1810.06630
openalex publication_date 2018/10/15 · openalex created_date 2022/08/02 · openalex updated_date 2026/07/28
Integrating spatial information about atrial physiology and anatomy in a\nsingle patient from multimodal datasets, as well as generalizing these data\nacross patients, requires a common coordinate system. In the atria, this is\nchallenging due to the complexity and variability of the anatomy. We aimed to\ndevelop and validate a universal atrial coordinate system for the following\napplications: combination and assessment of multimodal data; comparison of\nspatial data across patients; 2D visualization; and construction of patient\nspecific geometries to test mechanistic hypotheses. Left and right atrial\nLGE-MRI data were segmented and meshed. Two coordinates were calculated for\neach atrium by solving Laplace's equation, with boundary conditions assigned\nusing five landmark points. The coordinate system was used to map spatial\ninformation between atrial meshes, including atrial anatomic structures and\nfibre directions from a reference geometry. Average error in point transfer\nfrom a source mesh to a destination mesh and back again was less than 6% of the\naverage mesh element edge length. Scalar mapping from electroanatomic to MRI\ngeometries was compared to an affine registration technique (mean difference in\nbipolar voltage: <10% of voltage range). Patient specific meshes were\nconstructed using UACs and phase singularity density maps from arrhythmia\nsimulations were visualised in 2D. We have developed a universal atrial\ncoordinate system allowing automatic registration of imaging and\nelectroanatomic mapping data, 2D visualisation, and patient specific model\ncreation, using just five landmark points.\n