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Thomas William Redpath

Researcher at University of Aberdeen

Publications -  110
Citations -  4297

Thomas William Redpath is an academic researcher from University of Aberdeen. The author has contributed to research in topics: Magnetic resonance imaging & Breast cancer. The author has an hindex of 35, co-authored 110 publications receiving 4114 citations. Previous affiliations of Thomas William Redpath include Aberdeen Royal Infirmary.

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Spin warp NMR imaging and applications to human whole-body imaging.

Abstract: Describes a new nuclear magnetic resonance (NMR) imaging technique which the authors call 'spin warp imaging' and gives examples of its application to human whole-body imaging. The apparatus is based on a four-coil, air cored magnet (made by the Oxford Instrument Company) capable of accepting the whole human body. The magnet produces a static field of 0.04 T giving a proton NMR frequency of 1.7 MHz. The maximum field inhomogeneity is about 6*10-4 at a radius of 0.23 m, approximately twice the amount theoretically attainable with this configuration. The pulse sequence used is shown.
Journal Article

A whole-body NMR imaging machine

TL;DR: In this article, a nuclear magnetic resonance (NMR) machine capable of producing tomographic sections of the whole human body in vivo has been constructed based on a four coil, air-core electromagnet producing a field of 0.04 T which corresponds to a proton NMR frequency of 1.7 MHz.
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Technical note: Use of a double inversion recovery pulse sequence to image selectively grey or white brain matter

TL;DR: The design of a double inversion recovery (DIR) sequence, to image selectively grey or white brain matter, is described and was found to give clear delineation of the cerebral cortex.
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Accuracy of T1 measurement in dynamic contrast-enhanced breast MRI using two- and three-dimensional variable flip angle fast low-angle shot

TL;DR: This work extended previously described methodology for in vivo T1 measurement to two‐dimensional (2D), fast low‐angle shot (FLASH), which requires computational modeling of slice‐selective radiofrequency (RF) excitation to correct for nonrectangular slice profiles.