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Real-time planar angiographic cerebral perfusion imaging.

April 24, 2026pubmed logopapers

Authors

Kim S,Kronfeld A,Reder SR,Krumb H,Mukhopadhyay A,Hahn M,Uphaus T,Brockmann MA,Othman A

Affiliations (4)

  • Department of Neuroradiology, University Medical Centre Mainz, Johannes Gutenberg University, Mainz, Germany. [email protected].
  • Department of Neuroradiology, University Medical Centre Mainz, Johannes Gutenberg University, Mainz, Germany.
  • Department of Informatics, Technical University Darmstadt, Darmstadt, Germany.
  • Department of Neurology, University Medical Centre Mainz, Johannes Gutenberg University, Mainz, Germany.

Abstract

Digital Subtraction Angiography (DSA) is an X-ray-based imaging modality intimately related to minimally invasive procedures in interventional radiology, cardiology, vascular and neurologic surgery. Emulating tomographic methods like 3D vessel reconstruction and flat-panel detector CT perfusion imaging increases its diagnostic utility. This study demonstrates a hardware and software setup expanding DSA capability to functional perfusion imaging by assessing planar cerebral perfusion at runtime. The setup uses an HDMI video splitter and frame-grabber for duplicating the video output of the intervention suite to an arbitrary machine at the time of image acquisition. A selection of methods, including numerical approximation and neural network inference of fitted curve features, is applied to create perfusion parameter maps and compare their respective completion times over a set of angiographic runs. We identified two distinct perfusion estimation methods able to yield results within 1-2 s, signal deconvolution using single-value decomposition (SVD) and numerical curve feature estimation, as well as a variation on conventional curve fitting that massively shortened calculation times from five minutes to clinically feasible 30 s. Directly accessing image data outside of the angiography suite enables real-time angiographic cerebral perfusion evaluation in the clinical workflow. This way, on-the-fly analysis of angiograms in clinical settings, e.g., angiographic perfusion, is made possible, facilitating future clinical studies.

Topics

Journal Article

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