Abstract #4403

T1 mapping and automated segmentation of the brain at 0.55 T

Michael Bach¹, Tom Hilbert^2,3,4, Francesco Santini^5,6, Hanns Christian Breit¹, Markus Klarhöfer^5,7, Davide Piccini^2,3,4, Tobias Kober^2,3,4, and Bénédicte Maréchal^2,3,4

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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