Andrew Macdonald's research while affiliated with The University of Manchester and other places

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Publication (1)

Experimentally-Derived Functional Form for a Population-Averaged High-Temporal-Resolution Arterial Input Function for Dynamic Contrast-Enhanced MRI
Article
  • Nov 2006
Rapid T(1)-weighted 3D spoiled gradient-echo (GRE) data sets were acquired in the abdomen of 23 cancer patients during a total of 113 separate visits to allow dynamic contrast-enhanced MRI (DCE-MRI) analysis of tumor microvasculature. The arterial input function (AIF) was measured in each patient at each visit using an automated AIF extraction meth...
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Citations

... (4) Feng's input function model was employed merely to simulate the AIFs for each tracer in our current study. However, many AIFs cannot be fitted to this model, and alternative models have been proposed in [55][56][57]. The impact of different types of AIF would need to be further investigated. ...
Reference: Kinetic model-informed deep learning for multiplexed PET image separation
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