What type of study is this?

This is a Quantitative Study study.

September 17, 2025

Open-source analysis of magnetic resonance spectroscopic imaging (MRSI) data in Osprey

Puntos clave

The integrated MRSI data analysis workflow allows easy visualization with tools like FSLeyes, enhancing usability.
End-to-end analysis and NIfTI-MRS export were successfully incorporated into the Osprey software package.
New multi-voxel capabilities in Osprey streamline MRSI analysis, making it more accessible for non-expert users.
The modular design of Osprey supports rapid integration of new modeling approaches and developments in MRSI.

Resumen

Motivation: Magnetic resonance spectroscopic imaging (MRSI) is a versatile technique to investigate in vivo metabolism. However, MRSI data processing is a demanding task, and only a few software packages support end-to-end analysis of MRSI data. Goal(s): Implement end-to-end MRSI data analysis into the open-source MRS analysis package Osprey. Approach: Multi-voxel capabilities were added to the existing Osprey analysis modules. Analysis derivatives were exported as NIfTI-MRS for easy visualization and synergies with existing toolboxes. Results: MRSI data analysis and NIfTI-MRS export were successfully integrated into Osprey. Impact: The implemented MRSI analysis workflow offers state-of-the-art methods with minimal user interaction available for non-expert users and easily visualized in FSLeyes. The modular workflow allows rapid adoption of new model approaches to be developed in Osprey.

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