Shape of my heart: Cardiac models through learned signed distance functions

arXiv:2308.16568v3 Announce Type: replace-cross
Abstract: The efficient construction of anatomical models is one of the major challenges of patient-specific in-silico models of the human heart. Current methods frequently rely on linear statistical models, allowing no advanced topological changes, or requiring medical image segmentation followed by a meshing pipeline, which strongly depends on image resolution, quality, and modality. These approaches are therefore limited in their transferability to other imaging domains. In this work, the cardiac shape is reconstructed by means of …

abstract advanced arxiv challenges construction cs.cv current eess.iv functions heart human image linear major medical patient pipeline replace segmentation statistical through type