M
Martin Ugander
Researcher at Royal North Shore Hospital
Publications - 200
Citations - 8232
Martin Ugander is an academic researcher from Royal North Shore Hospital. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 32, co-authored 157 publications receiving 6774 citations. Previous affiliations of Martin Ugander include Karolinska University Hospital & University of Sydney.
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Journal ArticleDOI
Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2 and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI)
Daniel Messroghli,James C. Moon,Vanessa M Ferreira,Lars Grosse-Wortmann,Taigang He,Peter Kellman,Julia Mascherbauer,Reza Nezafat,Michael Salerno,Erik B. Schelbert,Andrew J. Taylor,Richard B. Thompson,Martin Ugander,Ruud B. van Heeswijk,Matthias G. Friedrich +14 more
TL;DR: This document provides a summary of the existing evidence for the clinical value of parametric mapping in the heart as of mid 2017, and gives recommendations for practical use in different clinical scenarios for scientists, clinicians, and CMR manufacturers.
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Myocardial T1 mapping and extracellular volume quantification: a Society for Cardiovascular Magnetic Resonance (SCMR) and CMR Working Group of the European Society of Cardiology consensus statement
James C. Moon,Daniel Messroghli,Peter Kellman,Stefan K. Piechnik,Matthew D. Robson,Martin Ugander,Peter D. Gatehouse,Andrew E. Arai,Matthias G. Friedrich,Stefan Neubauer,Jeanette Schulz-Menger,Jeanette Schulz-Menger,Erik B. Schelbert +12 more
TL;DR: This document provides recommendations for clinical and research T1 and ECV measurement, based on published evidence when available and expert consensus when not, and addresses controversies in the field.
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Design and validation of Segment--freely available software for cardiovascular image analysis.
TL;DR: The design and validation of a cardiovascular image analysis software package (Segment) is presented and its release in a source code format is announced and made freely available for research purposes.
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Extracellular volume imaging by magnetic resonance imaging provides insights into overt and sub-clinical myocardial pathology
Martin Ugander,Abiola J Oki,Li-Yueh Hsu,Peter Kellman,Andreas Greiser,Anthony H. Aletras,Christopher T. Sibley,Marcus Y. Chen,W. Patricia Bandettini,Andrew E. Arai +9 more
TL;DR: Extracellular volume fraction imaging can quantitatively characterize myocardial infarction, atypical diffuse fibrosis, and subtleMyocardial abnormalities not clinically apparent on LGE images.
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Extracellular volume fraction mapping in the myocardium, part 1: evaluation of an automated method
TL;DR: Fully automated motion correction and co-registration of breath-holds significantly improve the quality of ECV maps, thus making the generation ofECV-maps feasible for clinical work flow.