Workshop on reconstruction schemes for magnetic resonance data
Summary of findings and recommendations
Esin Ozturk-Isik (Boğaziçi University)
Ian Marshall (The University of Edinburgh)
Patryk Filipiak (University of Wroclaw)
Arnold J.V. Benjamin (The University of Edinburgh)
Valia Guerra Ones (TU Delft - Mathematical Physics)
Rafael Ortiz Ramón (Universitat Politécnica de Valencia)
Maria del C. Valdés Hernández (The University of Edinburgh)
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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.
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