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Abstract #0451

Patch-based super-resolution of 7 T MRSI of Glioma: Initial results

Gilbert Hangel1,2, Saurabh Jain3,4, Eva Hečková1,2, Bernhard Strasser5, Michal Povazan6,7, Stephan Gruber1,2, Elisabeth Springer1,2, Georg Widhalm8, Matthias Preusser9, Siegfried Trattnig1,2, Diana Sima3,10, Dirk Smeets3,11, and Wolfgang Bogner1,2

1High Feld MR Centre, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3icometrix, R&D, Leuven, Belgium, 4Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, Netherlands, 5Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 6Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 7F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 8Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 9Department of Medicine 1, Division of Oncology, Medical University of Vienna, Vienna, Austria, 10Department of Electrical Engineering-ESAT, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium, 11BioImaging Lab, Universiteit Antwerpen, Antwerp, Belgium

The application of high-resolution MRSI at 7T to the measurement of brain tumours was recently shown with preliminary data. In order to better resolve the glioma structure and metabolism for clinical use, a further increase in resolution over the currently achievable would be necessary. This can be achieved by the application of modern image up-sampling techniques. Therefore, we demonstrate the successful application and benefits of one such technique, patch-based superresolution, to 7T MRSI maps in glioma patients. Our results show the resolution of metabolic hotspots with unprecedented detail.

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