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Abstract #0948

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

Helge J. Zöllner1, Dillip K. Senapati1, İpek Özdemir1, Doris D. M. Lin1,2, Georg Oeltzschner1, and Peter B. Barker1,2
1The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Kennedy Krieger Institute, F. M. Kirby Research Center for Functional Brain Imaging, Baltimore, MD, United States

Synopsis

Keywords: Software Tools, Software Tools, open-source, MRSI, reproducible research, neuro

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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Keywords