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Abstract #5235

Application of MRspecLAB for MRS/MRSI Data Processing: A Low-Code, and Highly Flexible GUI Platform

Ying Xiao1,2,3, Antonia Kaiser2,3, Matthias Hugues Jörg Kockisch2,3, Robin Carlet2,3, Zhiwei Huang2,3, Xinyu Liu1,2,3, André Döring2,3, Mark Widmaier1,2,3, and Lijing Xin2,3
1Laboratory for Functional and Metabolic Imaging (LIFMET), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 2CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 3Animal Imaging and Technology, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

Synopsis

Keywords: Spectroscopy, Software Tools, MRS/MRSI data processing

Motivation: MRspecLAB is a Python-based, free, user-friendly open platform designed to simplify the processing of both 1H and X-nuclei MRS/MRSI raw data.

Goal(s): This abstract is to demonstrate its applications and show its large potential to simplify and standardize routine MRS/MRSI data processing.

Approach: By providing intuitive GUI and customizable pipeline features, as well as customized node design, we encourage collaboration and innovation on this platform.

Results: MRspecLAB allows non-expert users to rapidly analyze and manage multiple types of MRS/MRSI data, and expert users to develop new processing functions and pipelines for sharing with non-expert users

Impact: MRspecLAB shows the large potential for users to easily process both 1H and X-nuclei MRS/MRSI raw data. This collaborative environment also enhances accessibility to MRS/MRSI techniques for various research and clinical applications.

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Keywords