dc.contributor | Vall d'Hebron Barcelona Hospital Campus |
dc.contributor.author | Blumberg, Stefano B. |
dc.contributor.author | Battiston, Marco |
dc.contributor.author | Kakkar, Lebina S. |
dc.contributor.author | Lin, Hongxiang |
dc.contributor.author | Ianus, Andrada |
dc.contributor.author | Grussu, Francesco |
dc.date.accessioned | 2022-06-16T08:22:56Z |
dc.date.available | 2022-06-16T08:22:56Z |
dc.date.issued | 2021-11 |
dc.identifier.citation | Grussu F, Blumberg SB, Battiston M, Kakkar LS, Lin H, Ianuş A, et al. Feasibility of Data-Driven, Model-Free Quantitative MRI Protocol Design: Application to Brain and Prostate Diffusion-Relaxation Imaging. Front Phys. 2021 Nov;9:752208. |
dc.identifier.issn | 2296-424X |
dc.identifier.uri | https://hdl.handle.net/11351/7705 |
dc.description | Cervell; Disseny del protocol; Ressonància magnètica quantitativa (qMRI) |
dc.description.sponsorship | This project was funded by the Engineering and Physical Sciences Research Council (EPSRC EP/R006032/1, M020533/1, G007748, I027084, N018702). This project has received funding under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 634541 and 666992, and from: Rosetrees Trust (United Kingdom, funding FG); Prostate Cancer United Kingdom Targeted Call 2014 (Translational Research St.2, project reference PG14-018-TR2); Cancer Research United Kingdom grant ref. A21099; Spinal Research (United Kingdom), Wings for Life (Austria), Craig H. Neilsen Foundation (United States) for jointly funding the INSPIRED study; Wings for Life (#169111); United Kingdom Multiple Sclerosis Society (grants 892/08 and 77/2017); the Department of Health’s National Institute for Health Research (NIHR) Biomedical Research Centres and UCLH NIHR Biomedical Research Centre; Champalimaud Centre for the Unknown, Lisbon (Portugal); European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 101003390. FG is currently supported by the investigator-initiated PREdICT study at the Vall d’Hebron Institute of Oncology (Barcelona), funded by AstraZeneca and CRIS Cancer Foundation. |
dc.language.iso | eng |
dc.publisher | Frontiers Media |
dc.relation.ispartofseries | Frontiers in Physics;9 |
dc.rights | Attribution 4.0 International |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ |
dc.source | Scientia |
dc.subject | Cervell - Imatgeria per ressonància magnètica |
dc.subject | Pròstata - Imatgeria per ressonància magnètica |
dc.subject.mesh | Magnetic Resonance Imaging |
dc.subject.mesh | Prostate |
dc.subject.mesh | Brain |
dc.title | Feasibility of Data-Driven, Model-Free Quantitative MRI Protocol Design: Application to Brain and Prostate Diffusion-Relaxation Imaging |
dc.type | info:eu-repo/semantics/article |
dc.identifier.doi | 10.3389/fphy.2021.752208 |
dc.subject.decs | imagen por resonancia magnética |
dc.subject.decs | próstata |
dc.subject.decs | encéfalo |
dc.relation.publishversion | https://doi.org/10.3389/fphy.2021.752208 |
dc.type.version | info:eu-repo/semantics/publishedVersion |
dc.audience | Professionals |
dc.contributor.organismes | Institut Català de la Salut |
dc.contributor.authoraffiliation | [Grussu F] Queen Square MS Centre, Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom. Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom. Radiomics Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. [Blumberg SB] Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom. [Battiston M] Queen Square MS Centre, Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom. [Kakkar LS] Centre for Medical Imaging, University College London, London, United Kingdom. [Lin H] Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom. [Ianuş A] Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal |
dc.identifier.wos | 000760632300001 |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/634541 |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/666992 |
dc.rights.accessrights | info:eu-repo/semantics/openAccess |