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Three-dimensional digital subtraction angiography (3D-DSA) is a well-established Xray- 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.

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Abstract: Simulation-informed Learning for Time-resolved Angiographic Contrast Agent Concentration Reconstruction

  • 会议论文

  • 发表日期：

    2025年

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  • Noah Maul,
  • Annette Birkhold,
  • Fabian Wagner,
  • Mareike Thies,
  • Maximilian Rohleder,
  • Philipp Berg,
  • Markus Kowarschik,
  • Andreas Maier

摘要

Three-dimensional digital subtraction angiography (3D-DSA) is a well-established Xray- 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.