Print Email Facebook Twitter Workshop on reconstruction schemes for magnetic resonance data Title Workshop on reconstruction schemes for magnetic resonance data: Summary of findings and recommendations Author Ozturk-Isik, Esin (Boğaziçi University) Marshall, Ian (University of Edinburgh) Filipiak, Patryk (University of Wroclaw) Benjamin, Arnold J.V. (University of Edinburgh) Guerra Ones, V. (TU Delft Mathematical Physics) Ortiz Ramón, Rafael (Universitat Politécnica de Valencia) del C. Valdés Hernández, Maria (University of Edinburgh) Date 2017 Abstract The high-fidelity reconstruction of compressed and lowresolution magnetic resonance (MR) data is essential for simultaneously improving patient care, accuracy in diagnosis and quality in clinical research. Sponsored by the Royal Society through the Newton Mobility Grant Scheme, we held a halfday workshop on reconstruction schemes for MR data on 17 August 2016 to discuss new ideas from related research fields that could be useful to overcome the shortcomings of the conventional reconstruction methods that have been evaluated to date. Participants were 21 university students, computer scientists, image analysts, engineers and physicists from institutions from six different countries. The discussion evolved around exploring new avenues to achieve high resolution, high quality and fast acquisition of MR imaging. In this article, we summarize the topics covered throughout the workshop and make recommendations for ongoing and future works. Subject Compressed sensingImage qualityImage reconstructionMagnetic resonance imagingMagnetic resonance spectroscopySuper-resolution To reference this document use: http://resolver.tudelft.nl/uuid:1181f48a-a747-4b5f-8be0-1ad72b5115fc DOI https://doi.org/10.1098/rsos.160731 Source Royal Society Open Science, 4 (2) Part of collection Institutional Repository Document type journal article Rights © 2017 Esin Ozturk-Isik, Ian Marshall, Patryk Filipiak, Arnold J.V. Benjamin, V. Guerra Ones, Rafael Ortiz Ramón, Maria del C. Valdés Hernández Files PDF 44975220_160731.full.pd.pdf 499.08 KB Close viewer /islandora/object/uuid:1181f48a-a747-4b5f-8be0-1ad72b5115fc/datastream/OBJ/view