, Events

MIBE Online Seminar: Unmixing Tissue Compartments with Deep Learning-Enhanced T1-T2-Relaxation Correlation Imaging.

Titel: Unmixing Tissue Compartments with Deep Learning-Enhanced T1-T2-Relaxation Correlation Imaging.

Sprecher: Sebastian Endt, GCB doctoral candidate (Menzel)

Datum und Uhrzeit: Dienstag, 30. November, 13:00 Uhr

Abstract: Magnetic resonance imaging is a versatile diagnostic tool with numerous clinical applications. However, it cannot resolve images on a cellular level. To nevertheless probe tissue microstructure, multidimensional correlation imaging emerges as a promising method. Based on image series acquired with varying inversion time TI and echo time TE, multiparametric spectra of T1 and T2 relaxation times in every voxel can be reconstructed, revealing sub-voxel tissue compartments. However, dense sampling of both the image and TI-TE-space results in impractically long acquisition times. We propose a flexible physics-informed deep learning framework to efficiently reconstruct voxel-wise T1-T2-spectra with increased robustness to noise and undersampling in the TI-TE-space - accelerating the acquisition by a factor of 4.

WEITERE INFORMATIONEN

Das MIBE-Seminar findet in diesem Semester online (Zoom) statt. Wenn Sie an dem Vortrag interessiert sind, können Sie sich per Email (katharina.scholz(at)tum.de) anmelden, Sie erhalten dann die Zugangsdaten.

 

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