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Abstract #0613

Towards 31P-informed 1H MRSI: A framework for the analysis of shared spectral features in vivo

Justyna Platek1,2,3, Florian Kroh1, Vanessa L. Franke1, Peter Bachert1,2, Mark E. Ladd1,2,4, and Andreas Korzowski1
1Division of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany, 2Faculty of Physics and Astronomy, Heidelberg University, Heidelberg University, Heidelberg, Germany, 3International Max Planck Research School for Quantum Dynamics in Physics, Chemistry, and Biology, MPIK, Heidelberg, Germany, 4Faculty of Medicine, Heidelberg University, Heidelberg, Germany

Synopsis

Keywords: Data Processing, Spectroscopy

Motivation: 1H MRSI has challenges in reliably separating phosphocholine (PC) and glycerophosphocholine (GPC) from each other. 31P MRSI discriminates readily between PC and GPC but has a limited sensitivity. Combing both methods offer interesting possibilities for surrogate markers.

Goal(s): Identification of mutual spectral features in both in vivo 31P and 1H MRSI data and the exploitation of complementary metabolite information.

Approach: Establishment of a Surrogate MARker Testing (SMART) framework using various novel routines implemented in MATLAB.

Results: The SMART framework could be successfully applied to in vivo 31P and 1H MRSI data acquired in this study, and identified initial promising surrogate features.

Impact: The exploitation of mutually correlated spectral features in vivo from different molecular MR techniques, e.g. 31P and 1H MRSI, enables the identification of potential new surrogate markers.

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