Dr. Ing. Malte Riedel
Malte Riedel is a freelance electrical engineer specializing in signal processing and biomedical imaging, with a strong focus on advanced image reconstruction and motion correction for MRI. He helps research institutions and technology-driven companies turn complex data acquisition and processing challenges into robust, deployable solutions, particularly for magnetic resonance imaging systems.
Malte received his Bachelor’s degree in Industrial Engineering (2014) and Master’s degree in Electrical Engineering (2017) from the Technical University of Brunswick, where his studies focused on nano-systems engineering, high-frequency technology, and biomedical imaging. He conducted his doctoral research at the Institute for Signal Processing, University of Lübeck, under Prof. Dr.-Ing. Alfred Mertins, in close collaboration with Philips Research and under the supervision of Prof. Dr. Peter Börnert. In 2021, he was awarded his Doctorate for his thesis “Model-based image reconstruction for multi-shot diffusion-weighted imaging.”
Following his PhD, Malte worked as a Postdoctoral Researcher and Senior Assistant at the Institute for Biomedical Engineering, ETH Zurich, with Prof. Klaas Prüssmann. There, he led the image reconstruction group and developed real-time reconstruction and motion correction techniques to improve image quality in the presence of inevitable head motion in MRI. As part of the AROMA project, he translated motion correction methods to the ultra-high-field 11.7T MRI scanner at CEA Paris-Saclay, enabling reliable imaging of fine-scale anatomical structures that would otherwise be compromised by subject motion.
Malte is currently based in Hamburg and is available for freelance engineering, consulting, and collaborative research projects in signal processing and biomedical imaging. Feel free to get in touch to discuss your engineering challenges.
Qualifications
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Research on motion and magnetic field correction techniques for MRI.
Team lead of the institute’s image reconstruction group.
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Research on motion and magnetic field correction techniques for MRI
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Model-based image reconstruction for multi-shot diffusion-weighted imaging; in close collaboration with Philips Research, Hamburg.
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Research collaboration project on gross motion correction for diffusion-weighted MRI.
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Nano-systems and biomedical engineering
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High-frequency engineering