Jeffrey Kasten is currently a post-doctoral fellow, working as part of a collaboration between the Medical Image Processing Lab (MIPLab) at the Ecole Polytechnique Fédérale de Lausanne (EPFL) and the Centre d’Imagerie BioMédicale (CIBM) at the University Hospital of Geneva (HUG). Jeffrey’s research revolves primarily around magnetic resonance spectroscopic imaging (MRSI), a maturing medical imaging modality that fuses the spatial localization capabilities of traditional magnetic resonance imaging (MRI) with the spectral discrimination of nuclear magnetic resonance (NMR) spectroscopy, in order to map the spatial distribution of clinically-relevant metabolites and other biochemical compounds. His current interests lie both in the development and translation of state-of-the-art methods in inverse problem theory, sparse signal processing, and low-dimensional representations in order to design novel and effective reconstruction algorithms that are well-suited for MRSI, and in devising specialized data acquisition strategies and pre-processing routines that are tailored to the given reconstruction method.
Jeffrey obtained his PhD from the EPFL Doctoral School of Biomedical Engineering in 2015 under the joint supervision of professors Dimitri Van De Ville (EPFL) and François Lazeyras (UniGE / HUG). He joined the MIPLab in 2010 after working as a researcher at the Center for Imaging of Neurodegenerative Diseases (CIND) at the San Francisco Veterans Affairs Medical Center (USA) under the directorship of Dr. Michael Weiner, where he developed various image processing pipeline tools (e.g. tissue segmentation, registration, spectral pre-processing, etc.) and helped coordinate imaging-based clinical research studies in Major Depressive Disorder, Sickle Cell Disease, HIV Infection, and normal aging.