title: Workshop on reconstruction schemes for magnetic resonance data: summary of findings and recommendations.
abstract: The high-fidelity reconstruction of compressed and low-resolution 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 half-day 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.
authors.affiliation: Institute of Biomedical Engineering , Bogazici University , Istanbul , Turkey.
authors.forename: Esin
authors.initials: E
authors.lastname: Ozturk-Isik
authors.affiliation: Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences , University of Edinburgh , Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB , UK.
authors.forename: Ian
authors.initials: I
authors.lastname: Marshall
authors.affiliation: Institute of Computer Science , University of Wroclaw , Wroclaw , Poland.
authors.forename: Patryk
authors.initials: P
authors.lastname: Filipiak
authors.affiliation: Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences , University of Edinburgh , Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB , UK.
authors.forename: Arnold J V
authors.initials: AJ
authors.lastname: Benjamin
authors.affiliation: Institute of Applied Mathematics , Delft University of Technology , The Hague , Netherlands.
authors.forename: Valia Guerra
authors.initials: VG
authors.lastname: Ones
authors.affiliation: Centre for Biomaterials and Tissue Engineering , Universitat Politècnica de València , Valencia , Spain.
authors.forename: Rafael Ortiz
authors.initials: RO
authors.lastname: Ramón
authors.affiliation: Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences , University of Edinburgh , Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB , UK.
authors.forename: Maria Del C
authors.identifier: 0000-0003-2771-6546
authors.initials: MD
authors.lastname: Valdés Hernández
keywords: compressed sensing; image quality; image reconstruction; magnetic resonance imaging; magnetic resonance spectroscopy; super-resolution