Abstract #4403
T1 mapping and automated segmentation of the brain at 0.55 T
Michael Bach1, Tom Hilbert2,3,4, Francesco Santini5,6, Hanns Christian Breit1, Markus Klarhöfer5,7, Davide Piccini2,3,4, Tobias Kober2,3,4, and Bénédicte Maréchal2,3,4
1Department of Radiology, University Hospital Basel, Basel, Switzerland, 2Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 3Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 5Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland, 6Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 7Siemens Switzerland AG, Healthcare Sector, Zürich, Switzerland
Synopsis
T1 mapping could potentially accurately diagnose microstructural changes due to pathology. In this work, a mp2rage based approach was optimized to perform fast whole-brain T1 mapping at 0.55 T. The mp2rage method was validated by the inversion recovery (IR) method. Finally, a fully automated brain segmentation was applied to perform region-based analysis of T1 values. Both methods (IR and mp2rage) yield comparable T1 values. The fully automated brain segmentation showed a good performance for the mp2rage sequence at 0.55 T. ROI extraction should further be optimized as it showed outliers most likely due to CSF voxels contaminating the ROIs.
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