ISMRM Raw data format: A proposed standard for MRI raw datasets

• Published in: Magnetic resonance in medicine Vol. 77; no. 1; pp. 411 - 421
• Main 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.
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.01.2017
• Subjects: Algorithms; C (programming language); C plus plus; Converters; Data retrieval; Databases, Factual; Format; Image processing; Image Processing, Computer-Assisted - methods; Image reconstruction; Interfaces; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Matlab; NMR; Nuclear magnetic resonance; open source; Phantoms, Imaging; raw data format; Scanners; Signal-To-Noise Ratio; Software; Source code; magnetic resonance imaging; open source; image reconstruction; raw data format
• ISSN: 0740-3194; 1522-2594; 1522-2594
• DOI: 10.1002/mrm.26089

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.