Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
567-03-012 ISMRM Abstract

QWIST: A Modular MATLAB Pipeline for Reproducible MRI Processing

Accepted
Markus Nilsson 1, Filip Szczepankiewicz2, Carl-Fredrik Westin3, Samo Lasic4, Nicola Spotorno5
1Diagnostic Radiology and Clinical Physiology, Lund University, Lund, Sweden
2Medical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden
3Brigham and Women's Hospital and Harvard Medical School, Boston, United States of America
4Department of Diagnostic Radiology, Lund University, Lund, Sweden
5Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
Presenting Author: Markus Nilsson

Synopsis

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References

1. Gorgolewski, K., Burns, C. D., Madison, C., Clark, D., Halchenko, Y. O., Waskom, M. L., & Ghosh, S. S. (2011). Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python. Frontiers in neuroinformatics, 5, 13.
2. Jenkinson, M., Beckmann, C. F., Behrens, T. E., Woolrich, M. W., & Smith, S. M. (2012). Fsl. Neuroimage, 62(2), 782-790.
3. Tournier, J-Donald, Robert Smith, David Raffelt, Rami Tabbara, Thijs Dhollander, Maximilian Pietsch, Daan Christiaens, Ben Jeurissen, Chun-Hung Yeh, and Alan Connelly. "MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation." Neuroimage 202 (2019): 116137.
4. Avants, B. B., Tustison, N., & Song, G. (2009). Advanced normalization tools (ANTS). Insight j, 2(365), 1-35.
5. Klein, S., Staring, M., Murphy, K., Viergever, M. A., & Pluim, J. P. (2009). Elastix: a toolbox for intensity-based medical image registration. IEEE transactions on medical imaging, 29(1), 196-205.
6. Isensee, Fabian, Marianne Schell, Irada Pflueger, Gianluca Brugnara, David Bonekamp, Ulf Neuberger, Antje Wick et al. "Automated brain extraction of multisequence MRI using artificial neural networks." Human brain mapping 40, no. 17 (2019): 4952-4964.

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