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Abstract #0611

A Multi-Resolution Fitting Approach for 31P MRSI

Jan-Philipp Schmitz1,2, Vanessa Franke1, Justyna Platek1,2,3, Peter Bachert1,2, Mark E. Ladd1,2,4, and Andreas Korzowski1
1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 3International Max Planck Research School for Quantum Dynamics in Physics, Chemistry, and Biology, MPIK, Heidelberg, Germany, 4Faculty of Medicine, University of Heidelberg, Heidelberg, Germany

Synopsis

Keywords: Non-Proton, Spectroscopy

Motivation: 31P metabolite signals with different signal-to-noise ratios (SNR) are typically acquired in the same acquisition, imposing different limits on achievable spatial resolution for individual metabolites. This enforces compromises in defined 31P MRSI protocols.

Goal(s): Effective measurement time reduction of high-resolution 31P MRSI in vivo.

Approach: Implementation of a fitting approach creating metabolite maps at different effective spatial resolutions depending on metabolite SNR.

Results: The multi-resolution fitting approach improved the quantification robustness of low-concentrated metabolites in high-resolution 31P MRSI datasets in vivo.

Impact: We present a quantification approach improving the quantification robustness of low-concentrated metabolites in high-resolution 31P MRSI datasets, yielding the potential for effective measurement time reduction of 31P MRSI in vivo.

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