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Alistair Mackenzie

Researcher at Royal Surrey County Hospital

Publications -  94
Citations -  1471

Alistair Mackenzie is an academic researcher from Royal Surrey County Hospital. The author has contributed to research in topics: Digital mammography & Mammography. The author has an hindex of 20, co-authored 88 publications receiving 1242 citations. Previous affiliations of Alistair Mackenzie include University of Surrey & University of Cambridge.

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Unenhanced helical CT for renal colic - is the radiation dose justifiable?

TL;DR: Although unenhanced CT confers diagnostic advantages and avoids the risks of intravenous contrast medium, this should be considered against the increased radiation dose to the patient which in this institution is over three times that of an IVU.
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British Society of Breast Radiology Annual Scientific Meeting 2016 : Manchester, UK. 6-8 November 2016

Ameerah Mohd Azmil, +219 more
TL;DR: Fergusson et al. as mentioned in this paper conducted a study to determine the rate and classification of interval breast cancer (IC) in the two years preceeding and following the introduction of digital mammography in 2011 in a national screening programme.
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Effect of image quality on calcification detection in digital mammography.

TL;DR: Investigation if microcalcification detection varies significantly when mammographic images are acquired using different image qualities, including: different detectors, dose levels, and different image processing algorithms found it to be sensitive to detector and dose used.
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Detector or System? Extending the Concept of Detective Quantum Efficiency to Characterize the Performance of Digital Radiographic Imaging Systems

TL;DR: The eDQE method was easy to implement, yielded reproducible results, and provided a meaningful reflection of system performance by quantifying image quality in a clinically relevant context.
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Effective DQE (eDQE) and speed of digital radiographic systems: An experimental methodology

TL;DR: The eDQE method yielded reproducible estimates of the system performance in a clinically relevant context by quantifying the inherent speed of theSystem, that is, the actual signal to noise ratio that would be measured under clinical operating conditions.