Abstract #0451

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

Gilbert Hangel^1,2, Saurabh Jain^3,4, Eva Hečková^1,2, Bernhard Strasser⁵, Michal Povazan^6,7, Stephan Gruber^1,2, Elisabeth Springer^1,2, Georg Widhalm⁸, Matthias Preusser⁹, Siegfried Trattnig^1,2, Diana Sima^3,10, Dirk Smeets^3,11, and Wolfgang Bogner^1,2

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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