University of Heidelberg
Faculty of Medicine Mannheim
University Hospital Mannheim
CKM receives DFG funding for Project "Prädiktion von Therapieansprechen und Outcome beim lokal fortgeschrittenen Rektum-Karzinom mittels Radiomics und Deep Learning: eine beispielhafte Anwendung für eine allgemein verwendbare, Deep Learning basierte Prozessierungs-Pipeline für die Bild-Klassifikation" read more.
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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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Numerical study of the distant dipolar field

S. Kirsch and P. Bachert

Proceedings 17th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Honolulu,, p.2756

In this numerical study we present 2D presentations of the distant dipolar field (DDF) for various sample geometries and different experimental conditions (e.g., gradient settings). The calculations show that the DDF depends on the geometry and/or spatial distribution of the magnetization within the sample. The spatial structure of the DDF shows the known dependence on distance (â??correlation distanceâ?? d). The simulations suggest that d should be considered as an average value rather than an exact distance. Our results are consistent with previously published 1D representations of the DDF and can be used to find optimized spatial magnetization distributions which result in an enhanced DDF.

Contact: Prof. Dr. Frank Zöllner last modified: 01.07.2020
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