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.
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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Home > Publications > Abstract >

Silent echoplanar imaging for auditory fMRI

S. Schmitter, E. Diesch, M. Amann, A. Kroll, M. Moayer and L. Schad

Proceedings 16th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Toronto,, p.2381

A new low-noise EPI-sequence is presented that is optimized for auditory fMRI measurements. The sequence produces a narrow-band acoustic frequency spectrum by using a sinusoidal readout echo train, which is adapted to the frequency response function of the MR scanner. Compared to a standard EPI-sequence the acoustic noise reduction amounts up to 20 dBA. Statistical parametric mapping of a simple block-design fMRI experiment with a pure-tone stimulus results in higher levels of significance of auditory activation for the low-noise sequence compared to a standard EPI sequence. These findings strongly suggest that the low-noise sequence generates enhanced BOLD contrasts.

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