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ISMRM Raw data format: A proposed standard for MRI raw datasets
Author(s) -
Inati Souheil J.,
Naegele Joseph D.,
Zwart Nicholas R.,
Roopchansingh Vinai,
Lizak Martin J.,
Hansen David C.,
Liu ChiaYing,
Atkinson David,
Kellman Peter,
Kozerke Sebastian,
Xue Hui,
CampbellWashburn Adrienne E.,
Sørensen Thomas S.,
Hansen Michael S.
Publication year - 2017
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.26089
Subject(s) - raw data , file format , computer science , python (programming language) , data format , image file formats , header , software , matlab , data file , k space , computer hardware , database , computer graphics (images) , data mining , artificial intelligence , programming language , magnetic resonance imaging , image (mathematics) , medicine , computer network , radiology
Purpose This work proposes the ISMRM Raw Data format as a common MR raw data format, which promotes algorithm and data sharing. Methods A file format consisting of a flexible header and tagged frames of k‐space data was designed. Application Programming Interfaces were implemented in C/C++, MATLAB, and Python. Converters for Bruker, General Electric, Philips, and Siemens proprietary file formats were implemented in C++. Raw data were collected using magnetic resonance imaging scanners from four vendors, converted to ISMRM Raw Data format, and reconstructed using software implemented in three programming languages (C++, MATLAB, Python). Results Images were obtained by reconstructing the raw data from all vendors. The source code, raw data, and images comprising this work are shared online, serving as an example of an image reconstruction project following a paradigm of reproducible research. Conclusion The proposed raw data format solves a practical problem for the magnetic resonance imaging community. It may serve as a foundation for reproducible research and collaborations. The ISMRM Raw Data format is a completely open and community‐driven format, and the scientific community is invited (including commercial vendors) to participate either as users or developers. Magn Reson Med 77:411–421, 2017. © 2016 Wiley Periodicals, Inc.