Lars Kasper
University of Toronto
My research focuses on adapting state of the art advances in MR imaging methodology in the context of neuroscientific and translational fMRI applications. My core theme therein is increasing sensitivity by optimal sampling on the one hand, and noise reduction (field and physiological) on the other. The key technology I employ for that purpose is magnetic field monitoring using NMR probes. I truly believe in open science and contribute through clean code available in accessible toolboxes.
Medical Imaging Toolbox, Biomedical Imaging, Biomedical Engineering, Biomedical Signal Processing
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TAPAS PhysIO Toolbox - Modeling Physiological Noise in fMRI
An integrated solution handling most data formats (scanner & other), robust trace preprocessing & modeling (RETROICOR, HRV, RVT,...
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