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Abstract #2123

High quality brain segmentation from synthetic MPRAGE images at 7T MRI

Marc-Antoine Fortin1, Rüdiger Stirnberg2, Yannik Völzke2, Laurent Lamalle3, Eberhard Pracht2, Daniel Löwen2, Tony Stöcker2,4, and Pål Erik Goa1
1Department of Physics, NTNU, Trondheim, Norway, 2DZNE, Bonn, Germany, 3GIGA-CRC In Vivo Imaging, University of Liège, Liège, Belgium, 4Department of Physics and Astronomy, University of Bonn, Bonn, Germany

Synopsis

Keywords: Segmentation, Brain, High-Field MRI, Data Analsyis, Anaysis/Processing, Segementation, Multi-Contrast, Neuro-imaging, synthetic MPRAGE

Motivation: Brain segmentation and multiparameter mapping (MPM) are important for neurodegenerative disease characterization. Acquiring sub-millimeter images increases scan time and patient discomfort. At 7T, B1+ inhomogeneities challenge brain segmentation.

Goal(s): The quality of brain segmentations produced from FastSurferVINN was evaluated and compared between a 7T MPRAGE protocol and two synthetic MPRAGE approaches.

Approach: MPRAGE and MPM images were acquired on 16 subjects across three 7T sites using pTx pulses. MPRAGElike and synMPRAGE images were generated from MPM. All images were segmented with FastSurferVINN.

Results: FastSurferVINN seems to be a robust technique to segment sub-millimeter 7T images. MPRAGElike generated superior segmentations compared to synMPRAGE.

Impact: Neuroscientists with Multi-Parameter Mapping sequences in their imaging protocol can approximate an MPRAGElike image (preferably over synthetic synMPRAGE). Acquiring an MPRAGE sequence solely for brain segmentation can be avoided resulting in a considerable amount of scan time saved.

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Keywords