Abstract #0290

NIfTI MRS: A standard format for spectroscopic data

William T Clarke¹, Tiffany Bell^2,3,4, Uzay Emir^5,6, Mark Mikkelsen^7,8, Georg Oeltzschner^7,8, Benjamin C Rowland⁹, Amirmohammad Shamaei^10,11, Brian J Soher¹², Sofie Tapper^7,8, 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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