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Abstract #4934

Vascular map assessment - the dual use of an analysis tool to evaluate imaging technique reproducibility and AI technique’s performance

Kaiyu Zhang1, Anders Gould2, Li Chen1, Zhensen Chen3, Gador Canton1, Niranjan Balu1, Thomas Hatsukami1, and Chun Yuan1
1Vascular Imaging Lab and BioMolecular Imaging Center, Department of Radiology, University of Washington, Seattle, WA, United States, 2Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, United States, 3Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China

Synopsis

Intracranial artery feature extraction (iCafe), a custom-made semi-automatic vascular map construction software, can quantitatively measure intracranial vascular features on time of flight (TOF) MRA with good scan-rescan and inter/intra operator reproducibility. To fully extend the use of iCafe to a novel MRA technique named simultaneous non-contrast angiography and intraplaque hemorrhage (SNAP), we will first evaluate its vascular feature measurements reproducibility and then compare these measurements with those acquired with a newly developed AICafe (AI + iCafe) technique on the same dataset. Good reproducibility was obtained on SNAP MRA using iCafe, as well as the AICafe technique.

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