T
Taigang He
Researcher at St George's, University of London
Publications - 66
Citations - 3799
Taigang He is an academic researcher from St George's, University of London. The author has contributed to research in topics: Heart failure & Magnetic resonance imaging. The author has an hindex of 26, co-authored 65 publications receiving 3102 citations. Previous affiliations of Taigang He include National Institutes of Health & Southern Medical University.
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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.
Journal ArticleDOI
On T2* Magnetic Resonance and Cardiac Iron
John-Paul Carpenter,Taigang He,Paul D. W. Kirk,Michael Roughton,Lisa J. Anderson,Sofia V. de Noronha,Mary N. Sheppard,John B. Porter,J Malcolm Walker,John C. Wood,Renzo Galanello,Gian Luca Forni,Gualtiero Catani,Gildo Matta,Suthat Fucharoen,Adam J. Fleming,Michael J. House,Greg Black,David N. Firmin,Timothy G. St. Pierre,Dudley J. Pennell +20 more
TL;DR: Iron distribution throughout the heart showed no systematic variation between segments, but epicardial iron concentration was higher than in the endocardium, indicating that the heart is more sensitive to iron loading than the liver.
Journal ArticleDOI
Application of independent component analysis in removing artefacts from the electrocardiogram
TL;DR: An ICA algorithm is tested on three-channel ECG recordings taken from human subjects, mostly in the coronary care unit, and results are presented that show that ICA can detect and remove a variety of noise and artefact sources in these ECGs.
Journal ArticleDOI
Myocardial T*2 measurement in iron-overloaded thalassemia: an ex vivo study to investigate optimal methods of quantification.
Taigang He,Peter D. Gatehouse,Gillian C. Smith,Raad H. Mohiaddin,Dudley J. Pennell,David N. Firmin +5 more
TL;DR: The aim of this study was to determine the best method to measure the myocardial T 2* from multi‐gradient‐echo data acquired both with and without black‐blood preparation, which suggests that a more accurate measure of T’s can be obtained by removing the main source of errors in the bright‐blood data.
Journal ArticleDOI
Magnetic resonance imaging of cortical bone with ultrashort TE pulse sequences.
Ines L.H. Reichert,Matthew D. Robson,Peter D. Gatehouse,Taigang He,Karyn E. Chappell,Joanne Holmes,S. I. Girgis,Graeme M. Bydder +7 more
TL;DR: In this article, the authors used ultrashort pulse sequence echo times (TEs) to detect signal from cortical bone in human subjects and use this signal to characterise this tissue.