University of Heidelberg
Faculty of Medicine Mannheim
University Hospital Mannheim
CKM receives DFG funding for Project "Prdiktion von Therapieansprechen und Outcome beim lokal fortgeschrittenen Rektum-Karzinom mittels Radiomics und Deep Learning: eine beispielhafte Anwendung fr eine allgemein verwendbare, Deep Learning basierte Prozessierungs-Pipeline fr die Bild-Klassifikation" read more.
Alena-Kathrin Schnurr presented on our research on AI in medical imaging @ Research Plus forum
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Dr. Mathias Davids wins the I. I. Rabi Award of the International Society for Magnetic Resonance in Medicine (ISMRM),
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Parameter Optimization for 7T 23Na-MRI

A. Nagel, S. Schmitter, M. Bock, E. Moser, W. Semmler and L. Schad

Proceedings 17th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Honolulu,, p.2465

The purpose of this study is to provide parameters for the optimization of 23Na-MRI protocols at 7 T. Therefore, T1 and T2* relaxation times of the human brain and different phantoms were measured. SNR and image quality was investigated at three field strengths (1.5 T, 3 T, 7T). The theoretically expected approximately linear increase in SNR with field strength could be confirmed, with minor deviations that can be attributed to relaxation effects. Furthermore, it was shown that appropriate sequence designs, such as a density adapted radial sequence can reduce degradations of image quality due to B0-inhomogeneities even at 7 T.

Contact: Prof. Dr. Frank Zöllner last modified: 21.09.2020
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