ISMRM Raw data format: A proposed standard for MRI raw datasets. Issue 1 (29th January 2016)

• Record Type: Journal Article
• Authors: Inati, Souheil J.; Naegele, Joseph D.; Zwart, Nicholas R.; Roopchansingh, Vinai; Lizak, Martin J.; Hansen, David C.; Liu, Chia‐Ying; Atkinson, David; Kellman, Peter; Kozerke, Sebastian; Xue, Hui; Campbell‐Washburn, Adrienne E.; Sørensen, Thomas S.; Hansen, Michael S.
• Is Part Of: Magnetic resonance in medicine. Volume 77:Issue 1(2017)
• Page Start: 411
• Page End: 421
• Publication Date: 2016-01-29
• Subjects: magnetic resonance imaging -- image reconstruction -- open source -- raw data format; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.26089
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract : 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.