Reproducibility Made Easy: A Tool for Methodological Transparency and Efficient Standardized Reporting based on the...

Area of Science:

• Medical Imaging
• Biophysics
• Data Science

Background:

• Magnetic resonance spectroscopy (MRS) studies suffer from poor reproducibility due to a lack of standardized reporting criteria.
• Existing minimum reporting standards (MRSinMRS) have seen slow implementation due to diverse vendor nomenclature, data formats, and lack of software tools.

Purpose of the Study:

• To develop a user-friendly software tool, REproducibility Made Easy (REMY), to overcome obstacles in implementing MRSinMRS standards.
• To facilitate the generation of reproducible MRS research outputs by automating the reporting of essential study parameters.

Main Methods:

• Developed REMY, a standalone toolbox supporting multiple MRS data formats (GE, Siemens, Philips, Bruker, MRS-NIfTI).
• Utilized external libraries (spec2nii, pymapVBVD) for accurate data processing and header information extraction.
• Implemented a user-friendly interface for data import, parameter selection, and generation of MRSinMRS tables, log files, and methodological documents (Latex, PDF).

Main Results:

• REMY successfully populated key MRSinMRS table sections, including hardware parameters (field strength, manufacturer, software version) and acquisition parameters (pulse sequence, voxel size, TR, TE, spectral width).
• The software accurately processed data from various vendors and formats, generating standardized reports without requiring coding expertise.
• Limitations include the inability to input RF coil and additional hardware information due to their absence in the source files.

Conclusions:

• REMY significantly enhances the adoption of MRSinMRS guidelines by simplifying the reporting of acquisition parameters.
• The tool addresses technical challenges, making reproducible MRS research more accessible to researchers and clinicians.
• Widespread use of REMY is expected to improve the overall quality and clinical applicability of MRS studies.