E
Enrico De Vita
Researcher at King's College London
Publications - 95
Citations - 3517
Enrico De Vita is an academic researcher from King's College London. The author has contributed to research in topics: Magnetic resonance imaging & Medicine. The author has an hindex of 26, co-authored 86 publications receiving 2794 citations. Previous affiliations of Enrico De Vita include University College London Hospitals NHS Foundation Trust & UCL Institute of Neurology.
Papers
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Journal ArticleDOI
Motion-corrected and high-resolution anatomically assisted (MOCHA) reconstruction of arterial spin labeling MRI.
Abolfazl Mehranian,Colm J. McGinnity,Radhouene Neji,Radhouene Neji,Claudia Prieto,Alexander Hammers,Enrico De Vita,Andrew J. Reader +7 more
TL;DR: In this article, a model-based reconstruction framework is proposed for motion-corrected and high-resolution anatomically assisted (MOCHA) reconstruction of arterial spin labeling (ASL) data.
Journal ArticleDOI
Data‐driven motion‐corrected brain MRI incorporating pose‐dependent B0 fields
Y. Brackenier,Lucilio Cordero-Grande,Raphael Tomi-Tricot,Thomas Wilkinson,Pip Bridgen,Anthony N. Price,Shaihan J. Malik,Enrico De Vita,Joseph V. Hajnal +8 more
TL;DR: In this article , the authors developed a fully data-driven retrospective intrascan motion correction framework for volumetric brain MRI at ultrahigh field (7 Tesla) that includes modeling of posedependent changes in polarizing magnetic (B0) fields.
Posted Content
Motion-corrected and high-resolution anatomically-assisted (MOCHA) reconstruction of arterial spin labelling MRI.
Abolfazl Mehranian,Colm J. McGinnity,Radhouene Neji,Claudia Prieto,Alexander Hammers,Enrico De Vita,Andrew J. Reader +6 more
TL;DR: All low‐resolution ASL control‐label pairs are used to reconstruct a single high‐resolution cerebral blood flow map, corrected for rigid‐motion, point‐spread‐function blurring and partial volume effect.
Proceedings ArticleDOI
Imaging biomarkers for the diagnosis of Prion disease
Liane S Canas,Benjamin C. Yvernault,Carole H. Sudre,Carole H. Sudre,Enrico De Vita,M. Jorge Cardoso,M. Jorge Cardoso,John S. Thornton,Frederik Barkhof,Sebastien Ourselin,Sebastien Ourselin,Simon Mead,Marc Modat,Marc Modat +13 more
TL;DR: The proposed framework consists of a multi-modal subjectspecific feature extraction step, followed by a Gaussian Process classifier used to calculate the probability of a subject to be diagnosed with Prion disease, and it is shown that the proposed method improves the characterisation of Prions disease.
Journal ArticleDOI
Doubling the resolution of echo-planar brain imaging by acquisition of two k-space lines per gradient reversal using TRAIL.
TL;DR: A method has been developed to double the resolution of EPI in the phase‐encode direction, without requiring increases in the maximum gradient amplitude or slew rate.