GRAPE-based slab-selective universal parallel transmit excitation pulses for whole-brain MRSI at 7 Tesla

Motivation: Whole-brain MRSI at ultra-high field is hampered by excitation field inhomogeneities which cause flip angle variations and, consequently, reduced SNR, especially in the cerebellum. Goal(s): To improve the flip angle homogeneity and, consequently, increase the SNR of whole-brain ultra-high field MRSI by utilizing universal pTx-pulses. Approach: Frequency-selective universal pTx-pulses(UP) were designed for homogeneous excitation with the GRAPE approach and implemented in a pulse-acquire-based MRSI sequence with concentric-ring readout at 7T. The spectral SNR was estimated with LCModel and compared to CP excitation. Results: GRAPE-UP excitation achieves a mean SNR increase of 23% in the cerebellum and slight SNR increase over the whole brain. Impact: This work shows the feasibility of GRAPE-based frequency-selective universal parallel transmit excitation pulses for whole-brain MRSI. These reduce spatial flip angle variations, and the resulting SNR loss, which is one of the main difficulties in whole-brain MRSI at ultra-high field.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/3452
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

GRAPE-based slab-selective universal parallel transmit excitation pulses for whole-brain MRSI at 7 Tesla

Wolfgang Bogner, Lukas Hingerl, Yannik Völzke, Gilbert Hangel et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
article

GRAPE-based slab-selective universal parallel transmit excitation pulses for whole-brain MRSI at 7 Tesla

Wolfgang Bogner, Lukas Hingerl, Yannik Völzke, Gilbert Hangel, Bernhard Strasser, Tony Stoecker, Eberhard Pracht, Daniel Löwen, Philipp Lazen, Alexander Radbruch
article en

Abstract

Motivation: Whole-brain MRSI at ultra-high field is hampered by excitation field inhomogeneities which cause flip angle variations and, consequently, reduced SNR, especially in the cerebellum. Goal(s): To improve the flip angle homogeneity and, consequently, increase the SNR of whole-brain ultra-high field MRSI by utilizing universal pTx-pulses. Approach: Frequency-selective universal pTx-pulses(UP) were designed for homogeneous excitation with the GRAPE approach and implemented in a pulse-acquire-based MRSI sequence with concentric-ring readout at 7T. The spectral SNR was estimated with LCModel and compared to CP excitation. Results: GRAPE-UP excitation achieves a mean SNR increase of 23% in the cerebellum and slight SNR increase over the whole brain. Impact: This work shows the feasibility of GRAPE-based frequency-selective universal parallel transmit excitation pulses for whole-brain MRSI. These reduce spatial flip angle variations, and the resulting SNR loss, which is one of the main difficulties in whole-brain MRSI at ultra-high field.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 63%
Advanced MRI Techniques and Applications
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GRAPE-based slab-selective universal parallel transmit excitation pulses for whole-brain MRSI at 7 Tesla — Wolfgang Bogner, Lukas Hingerl, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS