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Physics-Informed Learning for Time-Resolved Angiographic Contrast Agent Concentration Reconstruction
March 5, 2024, 2:49 p.m. | Noah Maul, Annette Birkhold, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Philipp Berg, Markus Kowarschik, Andreas Maier
cs.CV updates on arXiv.org arxiv.org
Abstract: Three-dimensional Digital Subtraction Angiography (3D-DSA) is a well-established X-ray-based technique for visualizing vascular anatomy. Recently, four-dimensional DSA (4D-DSA) reconstruction algorithms have been developed to enable the visualization of volumetric contrast flow dynamics through time-series of volumes. . This reconstruction problem is ill-posed mainly due to vessel overlap in the projection direction and geometric vessel foreshortening, which leads to information loss in the recorded projection images. However, knowledge about the underlying fluid dynamics can be leveraged …
abstract agent algorithms arxiv contrast cs.cv digital dsa dynamics flow physics physics-informed ray series three-dimensional through type visualization x-ray
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