Fully automated open-source analysis and interactive visualization of magnetic resonance spectroscopic imaging (MRSI) data in Osprey-MRSI
Purpose: Magnetic resonance spectroscopic imaging (MRSI) is a versatile technique to investigate the spatial distribution of in vivo metabolism. However, processing MRSI data is demanding, and only a few software packages support end-to-end analysis. The goal of this study was to implement fully automated, end-to-end MRSI analysis into the open-source 'Osprey-MRSI' software package. Methods:…
Magnetic resonance spectroscopic imaging (MRSI) is a powerful tool for visualizing the distribution of metabolism within the body. However, processing MRSI data can be complex and is often handled by limited software options. This study aimed to enhance the open-source Osprey-MRSI software to automate the entire analysis process.
The researchers added several new features to Osprey-MRSI. These included spatial transformations, filtering, automated brain masking, tissue segmentation, improved lipid filtering, rapid integral maps, modeling with B0 frequency-shift correction, and the creation of quality control and metabolic images. Users can now interactively inspect each analysis step through a user-friendly graphical interface, as well as generate semi-interactive HTML reports.
The new automated workflow was tested on MRSI data from all major machine manufacturers (Philips, GE, Siemens) and across multiple locations. The coregistration of MRSI data with MR images was confirmed using vendor-specific phantom data and other existing MRSI processing tools.
The study concludes that Osprey-MRSI provides cutting-edge analysis capabilities with minimal user input required. The software's modular design and modeling approach encourage further innovation and the development of new MRSI analysis techniques.
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