Rapid RASER MRI - Data

DOI

Conventional Magnetic Resonance Imaging (MRI) relies on high‐power Radio‐Frequency (RF) pulses to excite nuclear spins and in turn generate NMR signals. These pulses require large high‐power RF‐amplifiers and cause heat deposition in the tissue, which must be minimized for safety, presenting a growing problem when moving toward ever‐higher field MRI. An alternative to RF‐pulse excitation is self‐excitation of nuclear spins using Radiofrequency Amplification by Stimulated Emission of Radiation (RASER), where the nuclear spins undergo spontaneous transition, without RF excitation, from an over‐populated state to a ground state. Here, the feasibility of recording rapid proton RASER MRI images of pyrazine at low concentration (120 mM) with large matrix (128x128 pixels) in as little as 78 ms is demonstrated at 500 MHz (11.7 T). We also recorded a time‐series of images using a single bolus hyperpolarized pyrazine highlighting the feasibility of dynamic tracking. The demonstrated approach allows recording MRI scans without transmit‐receive electronics of the MRI scanner, which is highly desirable for portable MRI as well as the emerging field of hyperpolarized MRI using, e.g., HP protons, 129Xe gas or HP 13C labeled biomolecules as molecular tracers and imaging agents.

Included are 1H MRI data recorded on a 500 MHz Avance NEO spectrometer (Bruker), using thermal equilibrium polarization, SABRE hyperpolarization and RASER excitation. Data is provided in PV360-3.2 format, BIDS and as PNG images. For more information, see the linked publication

Identifier
DOI https://doi.org/10.35097/kapcf985935rnu2g
Related Identifier IsIdenticalTo https://publikationen.bibliothek.kit.edu/1000189583
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/kapcf985935rnu2g
Provenance
Creator Lehmkuhl, Sören ORCID logo; Fleischer, Simon ORCID logo; Yang, Jing ORCID logo; Chekmenev, Eduard Y.; Theis, Thomas; Appelt, Stephan; Korvink, Jan G.; Jouda, Mazin ORCID logo
Publisher Karlsruhe Institute of Technology
Contributor RADAR
Publication Year 2026
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Resource Type Dataset
Format application/x-tar
Size 86,4 MB
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences