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NIfTI-MRS: A standard data format for magnetic resonance spectroscopy

WT. Clarke, TK. Bell, UE. Emir, M. Mikkelsen, G. Oeltzschner, A. Shamaei, BJ. Soher, M. Wilson

. 2022 ; 88 (6) : 2358-2370. [pub] 20220911

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc22032431

Grantová podpora
R00 AG062230 NIA NIH HHS - United States
S10 OD012336 NIH HHS - United States
102584 Wellcome Trust - United Kingdom
R01 EB023963 NIBIB NIH HHS - United States
R01 EB028259 NIBIB NIH HHS - United States
P41 EB015909 NIBIB NIH HHS - United States
S10 OD021648 NIH HHS - United States
R01 EB016089 NIBIB NIH HHS - United States
102584/Z/13/Z Wellcome Trust - United Kingdom
P41 EB031771 NIBIB NIH HHS - United States
Wellcome Trust - United Kingdom
203139 Wellcome Trust - United Kingdom

PURPOSE: Multiple data formats in the MRS community currently hinder data sharing and integration. NIfTI-MRS is proposed as a standard spectroscopy data format, implemented as an extension to the Neuroimaging informatics technology initiative (NIfTI) format. This standardized format can facilitate data sharing and algorithm development as well as ease integration of MRS analysis alongside other imaging modalities. METHODS: A file format using the NIfTI header extension framework incorporates essential spectroscopic metadata and additional encoding dimensions. A detailed description of the specification is provided. An open-source command-line conversion program is implemented to convert single-voxel and spectroscopic imaging data to NIfTI-MRS. Visualization of data in NIfTI-MRS is provided by development of a dedicated plugin for FSLeyes, the FMRIB Software Library (FSL) image viewer. RESULTS: Online documentation and 10 example datasets in the proposed format are provided. Code examples of NIfTI-MRS readers are implemented in common programming languages. Conversion software, spec2nii, currently converts 14 formats where data is stored in image-space to NIfTI-MRS, including Digital Imaging and Communications in Medicine (DICOM) and vendor proprietary formats. CONCLUSION: NIfTI-MRS aims to solve issues arising from multiple data formats being used in the MRS community. Through a single conversion point, processing and analysis of MRS data are simplified, thereby lowering the barrier to use of MRS. Furthermore, it can serve as the basis for open data sharing, collaboration, and interoperability of analysis programs. Greater standardization and harmonization become possible. By aligning with the dominant format in neuroimaging, NIfTI-MRS enables the use of mature tools present in the imaging community, demonstrated in this work by using a dedicated imaging tool, FSLeyes, for visualization.

Citace poskytuje Crossref.org

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