Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
564-01-010 ISMRM Abstract

ART-Net: A deep learning framework for artifact source classification in ASL CBF Maps

Primary: Contrast Mechanisms - Arterial Spin Labelling
Secondary: Analysis Methods - Classification and Prediction
564-01-010 · Perfusion and ASL Imaging: Recent Advances · Wednesday, 13 May, 8:20 AM–9:15 AM · Digital Posters Row E
Keywords: Deep learning Arterial Spin Labelling (ASL) Cerebral blood flow (CBF) Image artifacts Artifact classification
Accepted
Xavier Beltran Urbano1, Manuel Taso 2, Katie R Jobson3, Paul A Yushkevich4, Ilya M Nasrallah4, John A Detre3,4, Ze Wang5, Sudipto Dolui4
1Department of Bioengineering, University of Pennsylvania, Philadelphia, United States of America
2Siemens Medical Solutions USA, Inc., Malvern, United States of America
3Department of Neurology, University of Pennsylvania, Philadelphia, United States of America
4Department of Radiology, University of Pennsylvania, Philadelphia, United States of America
5Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, United States of America
Presenting Author: Manuel Taso

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References

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Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/564-01-010