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Abstract #0290

NIfTI MRS: A standard format for spectroscopic data 

William T Clarke1, Tiffany Bell2,3,4, Uzay Emir5,6, Mark Mikkelsen7,8, Georg Oeltzschner7,8, Benjamin C Rowland9, Amirmohammad Shamaei10,11, Brian J Soher12, Sofie Tapper7,8, and Martin Wilson13
1Wellcome Centre for Integrative Neuroimaging, NDCN, University of Oxford, Oxford, United Kingdom, 2Department of radiology, University of Calgary, Calgary, AB, Canada, 3Hotchkiss brain institute, University of Calgary, Calgary, AB, Canada, 4Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, AB, Canada, 5School of Health Sciences, Purdue University, West Lafayette, IN, United States, 6Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 7Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 8F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 9Division of Cancer Science, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom, 10Institute of Scientific Instruments of the CAS, Brno, Czech Republic, 11Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic, 12Center for Advanced MR Development, Department of Radiology, Duke University Medical Center, Durham, NC, United States, 13Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, United Kingdom

We propose a flexible data format for the storage of multidimensional MRS data. The lack of a single widely used data format in MRS hinders widespread use, consistent analyses, and open dissemination of data. Here, we adapt the widely adopted NIfTI format to store MRS data, extending NIfTI to include the additional meta-data required for MRS data interpretation. We present a pipeline for end-to-end analysis of MRS data and an open-source conversion tool. The community is encouraged to contribute to the format.

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