Health AI Central
Peer-Reviewed Publication
Magn Reson Med2026;96(6):2642-2659.December 1, 2026Journal Article

Human In Vivo Validation of Frequency-Dependent QTI.

Svenja Niesen1,2, Marten Veldmann1, Ali Ajouz3,4,5, Tony Stöcker1,6
1MR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
2Faculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany.
3Department of Radiology and Neuroradiology, UKSH, CAU Kiel, Kiel, Germany.
4Section Biomedical Imaging, Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Christian-Albrechts-Universität zu Kiel, Kiel, Germany.
5Siemens Healthineers AG, Hamburg, Germany.
6Department of Physics & Astronomy, University of Bonn, Bonn, Germany.
PubMed PMC DOI PDF

Abstract

PURPOSE: The aim of this work is to investigate if q-space trajectory imaging (QTI) waveforms can be designed to probe QTI metrics at a single centroid frequency under realistic experimental conditions for in vivo human brain imaging. METHODS: Realistic diffusion encoding waveforms based on double-rotation gradient waveform and magic-angle spinning of the q-vector with varying encoding bandwidth,…

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