Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
351-03-004 / 351-03-004 ISMRM Abstract

Reference-free and spatial-resolved image quality assessment in brain MRI using contrastive representation learning

Primary: Acquisition & Reconstruction - Artifacts and Correction Strategies
Secondary: Analysis Methods - Classification and Prediction
351-03-004 · AI Methods · Monday, 11 May, 4:10 PM–5:46 PM · Power Pitch Theatre 1
351-03-004 · AI Methods · Monday, 11 May, 4:10 PM–5:46 PM · Power Pitch Theatre 1
Keywords: Image Quality Assessment Image Quality Metrics Motion Detection Representation learning Motion artifacts
Accepted
Veronika Ecker 1,2, Elisa Marchetto3,4, Hannah Eichhorn5,6, Melanie Ganz7,8, Sergios Gatidis1,9, Bin Yang2, Thomas Küstner1
1Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany
2Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany
3Bernard and Irene Schwartz Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, New York, United States of America
4Center for Advanced Imaging Innovation and Research (CAI2R), Dept. of Radiology, NYU School of Medicine, New York, United States of America
5Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, Munich, Germany
6School of Computation, Information and Technology, Technical University Munich, Munich, Germany
7Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
8Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
9Department of Radiology, Stanford University, Stanford, United States of America
Presenting Author: Veronika Ecker

Synopsis

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References

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Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/351-03-004