NIfTI-MRS: A standard data format for magnetic resonance spectroscopy.
MRS
MRSI
open data format
spectroscopy
visualization
Journal
Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245
Informations de publication
Date de publication:
12 2022
12 2022
Historique:
revised:
26
07
2022
received:
21
06
2022
accepted:
29
07
2022
pubmed:
13
9
2022
medline:
4
10
2022
entrez:
12
9
2022
Statut:
ppublish
Résumé
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. 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. 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. 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.
Identifiants
pubmed: 36089825
doi: 10.1002/mrm.29418
pmc: PMC7613677
mid: EMS154914
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2358-2370Subventions
Organisme : NIA NIH HHS
ID : R00 AG062230
Pays : United States
Organisme : NIH HHS
ID : S10 OD012336
Pays : United States
Organisme : Wellcome Trust
ID : 102584
Pays : United Kingdom
Organisme : NIBIB NIH HHS
ID : R01 EB023963
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB028259
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB015909
Pays : United States
Organisme : NIH HHS
ID : S10 OD021648
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB016089
Pays : United States
Organisme : Wellcome Trust
ID : 102584/Z/13/Z
Pays : United Kingdom
Organisme : NIBIB NIH HHS
ID : P41 EB031771
Pays : United States
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203139
Pays : United Kingdom
Informations de copyright
© 2022 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.
Références
Biophys J. 1988 Nov;54(5):921-9
pubmed: 3242635
Proc Natl Acad Sci U S A. 2021 Jun 15;118(24):
pubmed: 34099561
Magn Reson Med. 2017 Jan;77(1):411-421
pubmed: 26822475
Neuroimage. 2018 Nov 15;182:97-116
pubmed: 29155183
Nat Rev Neurol. 2018 Oct;14(10):590-605
pubmed: 30131520
Neuroimage. 2017 Jan;144(Pt B):259-261
pubmed: 26048618
J Cereb Blood Flow Metab. 2015 Mar 31;35(4):601-10
pubmed: 25564236
Neuroimage. 1995 Jun;2(2):89-101
pubmed: 9343592
Elife. 2021 Oct 18;10:
pubmed: 34658334
Magn Reson Med. 2021 Jan;85(1):13-29
pubmed: 32797656
Magn Reson Med. 2022 Dec;88(6):2358-2370
pubmed: 36089825
NMR Biomed. 2021 May;34(5):e4257
pubmed: 32084297
J Neurosci Methods. 2020 Sep 1;343:108827
pubmed: 32603810
Nat Neurosci. 2016 Aug 26;19(9):1175-87
pubmed: 27571196
NMR Biomed. 2021 May;34(5):e4484
pubmed: 33559967
Neuroimage. 2012 Aug 15;62(2):782-90
pubmed: 21979382
Magn Reson Med. 2021 Jun;85(6):2950-2964
pubmed: 33280161
Sci Data. 2016 Jun 21;3:160044
pubmed: 27326542
Comput Biomed Res. 1996 Jun;29(3):162-73
pubmed: 8812068
NMR Biomed. 1998 Oct;11(6):266-72
pubmed: 9802468
Magn Reson Med. 2017 Jan;77(1):23-33
pubmed: 26715192