Projects per year
Personal profile
Research interests
Andrew is currently involved in several areas of research applying computational modelling to important problems in medicine and industry. A primary interest is in building a complete in silico pipeline for simulating magnetic resonance imaging of cardiovascular physiology in order to optimise diagnostic protocols and provide prognostic decision support to clinicians.
- Computational modelling of cardiovascular diseases
- Optimisation of medical imaging
- In silico design of imaging contrast agents
- Scientific software development for finite element methods
- Mixing in laminar flows
- Flow instability in helical pipes
- Poroelastic fluid mechanics
He is involved in the following projects:
GW4 Translational Biomedical Research Network
Willing to supervise doctoral students
1. Combining machine learning with modelling to improve medical imaging in cardiology.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Biofluid Mechanics, Doctor of Philosophy, Computational Investigation of Helical Pipe Geometries from a Mixing Perspective, Imperial College London
Award Date: 30 Sept 2009
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Spinout company formation for PHAST
1/03/23 → 29/02/24
Project: Central government, health and local authorities
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Isambard RAP: DNS of Transitional Blood Flow Over a Backward Facing Step
Kelly, N., Gill, R., Cookson, A. & Fraser, K.
1/07/19 → …
Project: Research-related funding
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Myocardial Infarction Project
Gill, R., Fraser, K. & Cookson, A.
1/12/15 → …
Project: Research-related funding
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The influence of pumping parameters on haemolysis produced by positive displacement artificial hearts: a combined experimental and numerical study
Bornoff, J., Zaman, F., Perkins, I. L., Cookson, A. & Fraser, K.
1/07/22 → 31/07/22
Project: Research-related funding
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Fluid–structure interaction modelling of a positive-displacement Total Artificial Heart
Bornoff, J., Najar, A., Fresiello, L., Finocchiaro, T., Perkins, I. L., Gill, H. S., Cookson, A. & Fraser, K., 14 Apr 2023, In: Scientific Reports. 13, 1, p. 5734-5748 1 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
MRI-based strain measurements reflect morphological changes following myocardial infarction: A study on the UK Biobank cohort
Odunmbaku-Mansell, D., Sammut, E., Bruno, V. D., Ascione, R., Rodrigues, J. C. L., Gill, H. S., Fraser, K. & Cookson, A., 31 Jan 2023, In: Journal Of Anatomy. 242, 1, p. 102-111 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Downloads (Pure) -
Overset meshing in combination with novel blended weak-strong fluid-structure interactions for simulations of a translating valve in series with a second valve
Bornoff, J., Gill, H. S., Najar, A., Perkins, I. L., Cookson, A. N. & Fraser, K. H., 18 Apr 2023, (E-pub ahead of print) In: Computer Methods in Biomechanics and Biomedical Engineering. 15 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
Approximating blood as a shear-thinning Generalized Newtonian Fluid underestimates secondary flow, as quantified by the relative torque, in rotating domains
Kelly, N., Gill, H. S., Cookson, A. & Fraser, K., 17 Mar 2022, (Acceptance date).Research output: Contribution to conference › Abstract › peer-review
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Towards complete Fluid Structure Interaction simulations for assessment of possible blood damage risk in the Realheart®, a novel Total Artificial Heart
Bornoff, J., Kelly, N., Najar, A., Cookson, A., Perkins, I. L. & Fraser, K., 17 Mar 2022, (Acceptance date).Research output: Contribution to conference › Abstract › peer-review
Datasets
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Dataset for "Comparison of the within-reader and inter-vendor agreement of left ventricular circumferential strains and volume indices derived from cardiovascular magnetic resonance imaging"
Cookson, A. (Creator), Odunmbaku-Mansell, D. (Creator), Fraser, K. (Creator), Gill, R. (Creator), Raimondo, A. (Creator), Domenico, B. (Creator), Frank, E. (Contributor), Kelly, N. (Contributor), Agostinho Hernandez, B. (Contributor), Fletcher, J. (Contributor), Bartlett, J. (Contributor), Sammut, E. (Contributor), Johnson, T. (Contributor) & Chiribiri, A. (Contributor), University of Bath, 15 Dec 2020
DOI: 10.15125/BATH-00890
Dataset