M
Mark A. Horsfield
Researcher at University of Leicester
Publications - 165
Citations - 14490
Mark A. Horsfield is an academic researcher from University of Leicester. The author has contributed to research in topics: Magnetic resonance imaging & Diffusion MRI. The author has an hindex of 61, co-authored 165 publications receiving 13868 citations. Previous affiliations of Mark A. Horsfield include UCL Institute of Neurology & University of Cambridge.
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Journal ArticleDOI
Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging.
TL;DR: An algorithm is presented that minimizes the bias inherent in making measurements with a fixed set of gradient vector directions by spreading out measurements in 3‐dimensional gradient vector space and this results in reduced scan times, increased precision, or improved resolution in diffusion tensor images.
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Dynamic Contrast-Enhanced Magnetic Resonance Imaging As a Biomarker for the Pharmacological Response of PTK787/ZK 222584, an Inhibitor of the Vascular Endothelial Growth Factor Receptor Tyrosine Kinases, in Patients With Advanced Colorectal Cancer and Liver Metastases: Results From Two Phase I Studies
Bruno Morgan,Anne L. Thomas,Joachim Drevs,Juergen Hennig,Martin Büchert,Asvina Jivan,Mark A. Horsfield,K. Mross,H. A. Ball,Lucy Lee,William Mietlowski,Stefan Fuxius,Clemens Unger,Kenneth J. O'Byrne,Andrew Henry,Graham R. Cherryman,Dirk Laurent,Margaret Dugan,Dieter Marmé,William P. Steward +19 more
TL;DR: In this article, the authors evaluated the pharmacodynamic effects of PTK/ZK by assessing changes in contrastenhancement parameters of metastatic liver lesions using dynamic contrastenhanced magnetic resonance imaging (DCE-MRI) in patients with advanced colorectal cancer treated in two ongoing, dose-escalating phase I studies.
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Non-invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI.
TL;DR: A technique for assessing in vivo fiber connectivity in the human brain is presented that utilizes a novel connectivity algorithm that operates in three spatial dimensions and uses estimates of fiber tract orientation and tissue anisotropy to establish the pathways of fiber tracts.
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Diffusion tensor magnetic resonance imaging in multiple sclerosis
TL;DR: DTI is able to identify MS lesions with severe tissue damage and to detect changes in the NAWM, indicating a role for DTI in monitoring advanced phases of the disease and indicating that DTI-derived measures are correlated with clinical disability.
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Applications of diffusion-weighted and diffusion tensor MRI to white matter diseases - a review.
Mark A. Horsfield,Derek K. Jones +1 more
TL;DR: The contribution that diffusion‐weighted imaging has made to the understanding of white matter diseases is critically appraised and the quantitative nature of diffusion MRI is one of its major attractions; however, this is offset by the more advanced hardware required to collect diffusion‐ Weighted images reliably, and the more complex processing to produce quantitative parametric diffusion images.