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Abstract #3594

High quality brain segmentation from multi-parameter mapping at Ultra-High Field MRI

Marc-Antoine Fortin1, Yannik Völzke2, Rüdiger Stirnberg2, Siya Sherif3, Laurent Lamalle3, Tony Stöcker2,4, and Pål Erik Goa1
1Department of Physics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway, 2German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 3GIGA Cyclotron Research Centre (GIGA-CRC) in vivo imaging, University of Liège, Liège, Belgium, 4Department of Physics and Astronomy, University of Bonn, Bonn, Germany

Synopsis

Keywords: Segmentation, High-Field MRI, Multi-Parameter Mapping, Quantitative MRI, 7TVery few segmentation techniques are optimized for 7T images. Due to the lack of approaches and the high level of inhomogeneity observed with Ultra-High Field images, neuroscientists typically limit the analysis to the upper half of the brain. A novel resolution- and contrast-agnostic technique, called SynthSeg, may remedy this limitation. A multi-parameter mapping protocol and MPRAGE images were acquired to test SynthSeg against FreeSurfer on 7T sub-millimeter brain images. Our results showed that SynthSeg can surpass FreeSurfer, especially for the cerebellum and temporal lobes. Moreover, we showed that quantitative maps can be great surrogates to high-resolution T1w images like MPRAGE.

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Keywords