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NIfTI-MRS: A standard data format for magnetic resonance spectroscopy
William T Clarke1, Tiffany K Bell2,3,4, Uzay E Emir5,6
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Magnetic Resonance in Medicine
|September 12, 2022
Summary
NIfTI-MRS standardizes magnetic resonance spectroscopy (MRS) data formats, simplifying sharing and analysis. This new format integrates MRS with other neuroimaging modalities, promoting collaboration and tool interoperability.
Area of Science:
- Neuroimaging
- Biomedical Data Standards
Background:
- Multiple data formats in Magnetic Resonance Spectroscopy (MRS) hinder data sharing and integration.
- Lack of a standardized format limits algorithm development and interoperability with other imaging techniques.
Purpose of the Study:
- To introduce NIfTI-MRS, a standardized data format for MRS.
- To facilitate data sharing, algorithm development, and integration of MRS with other imaging modalities.
Main Methods:
- Developed NIfTI-MRS as an extension of the Neuroimaging Informatics Technology Initiative (NIfTI) format.
- Incorporated essential spectroscopic metadata and additional encoding dimensions.
- Created open-source conversion software (spec2nii) and a visualization plugin for FSLeyes.
Main Results:
- NIfTI-MRS specification is detailed, with online documentation and example datasets available.
- Conversion software supports 14 formats, including DICOM and proprietary vendor formats.
- FSLeyes plugin enables visualization of NIfTI-MRS data, demonstrating integration with existing neuroimaging tools.
Conclusions:
- NIfTI-MRS addresses fragmentation in MRS data formats, simplifying processing and analysis.
- The standard promotes open data sharing, collaboration, and interoperability of analysis programs.
- Alignment with the NIfTI format leverages existing neuroimaging tools for enhanced MRS data utilization.
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