Application of MRspecLAB for MRS/MRSI Data Processing: A Low-Code, and Highly Flexible GUI Platform
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.
Authors
- Mark Widmaier (ORCID: https://orcid.org/0009-0000-3353-0305)
- Zhiwei Huang (ORCID: https://orcid.org/0000-0002-0104-9135)
- Antonia Kaiser (ORCID: https://orcid.org/0000-0001-7805-6766)
- Lijing Xin (ORCID: https://orcid.org/0000-0002-5450-6109)
- André Döring (ORCID: https://orcid.org/0000-0002-2096-5374)
- Xiaofeng Liu (ORCID: https://orcid.org/0000-0003-2891-3584)
- Ying Xiao (ORCID: https://orcid.org/0009-0003-1003-1919)
- Matthias Kockisch
- Robin Carlet
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/10.58530/2025/5235
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00