The EPSRC University Doctoral Landscape Award funded PhD projects currently available in the Faculty of Medicine are listed below. PhD projects within this cohort are aligned to a collaborative, cross-departmental, multi-disciplinary programme of research that integrate the medical and physical sciences.

Cohort title: Deep mapping of the myocardium at scale

Cohort lead: Dr Andrew Scott, National Heart and Lung Institute

Computational Modelling for MRI-based Microvascular Mapping in the Heart

Primary supervisor: Dr Andrew Scott, National Lung and Heart Institute
Co-supervisor: Professor Denis Doorly, Department of Aeronautics

 
Note: Open to home and international candidates
Tuition fees will be covered at the EPSRC rate (currently £5,006) and international candidates will be required to cover the remaining fees. International tuition fees are currently £45,850 per annum (in the Faculty of Medicine).
 
Project title: Computational Modelling for MRI-based Microvascular Mapping in the Heart
 

Project overview
We are advancing a contrast free MRI method (STEAM IVIM) that simultaneously measures myocardial microstructure and microcirculatory function in vivo. Early studies show STEAM IVIM can quantify perfusion robustly and detect dilation of the coronary arteries, but current signal models oversimplify microvascular geometry, flow directionality, and water exchange. In this PhD, you will build microscopy informed, dynamic computational models of coronary microcirculation and water diffusion, use them to optimise STEAM IVIM acquisition and analysis, and validate methods in human cohorts on state of the art clinical scanners. The outcome will be deployable MRI techniques (pulse sequences) and open source software tools that deliver new insight into the heart in health, disease, and ageing (without contrast agents), invasive procedures, or ionising radiation.

What you will do

  • Develop and test multi scale simulations of blood flow and diffusion to predict the STEAM IVIM signal.
  • Investigate the use of artificial intelligence based methods to accelerate simulations and segment microscopy data.
  • Design and refine acquisition protocols and model based reconstruction/analysis pipelines.
  • Acquire and analyse cardiac MRI data on clinical hardware (e.g., Siemens Cima.X, Royal Brompton Hospital).
  • Translate methods to reproducible, clinically usable tools; contribute to open source software and datasets.
  • Present at conferences and publish in leading journals.

What you’ll learn

  • MRI physics and pulse sequence design (diffusion/perfusion, imaging dynamic structures e.g. the heart).
  • Numerical modelling, Monte Carlo simulation and uncertainty quantification.
  • End to end experimental research: from computational simulations to acquiring data in human subjects; protocol design, statistics and reproducibility.
  • Cross disciplinary research with physicists, engineers, computer scientists, and cardiologists.

Who should apply

  • Degrees in engineering, physics, applied mathematics, computer science, biomedical engineering/imaging, or a related field.
  • Strong coding skills (e.g., Python/Matlab) and interest in MRI, signal processing, or numerical simulation.
  • Desirable: experience with MRI, heart anatomy and physiology, computational modelling, machine learning or Monte Carlo methods.

Research environment

  • You will join a collaborative team spanning MR physics, cardiovascular science, and computational imaging, with access to:
  • Ultrahigh performance MRI systems (including Siemens Cima.X).
  • High performance computing for simulation.
  • Mentoring in technical and translational research; career development skills; opportunities for teaching and outreach.

Impact

  • Validated STEAM IVIM sequences for microvascular characterisation deployable on clinical platforms.
  • Open source vascular–microstructural models and simulation tools for wider scientific use.
  • Foundations for future patient studies in coronary microvascular disease and cardiovascular ageing.

 

*Investigating Cardiac Muscle Microstructural Changes as Early Marker of Cardiac Ageing and of Cardiac Disease Development

Primary supervisor: Dr Sonia Nielles-Vallespin, National Lung and Heart Institute
Co-supervisor: Professor Daniel Rueckert, Department of Computing
Co-supervisor: Dr Pedro Ferreira, National Lung and Heart Institute

Please note:

  • Open to home and international candidates. Tuition fees will be covered at the EPSRC rate (currently £5,006) and international candidates will be required to cover the remaining fees. International tuition fees are currently £45,850 per annum (in the Faculty of Medicine).
  • *This project is offered with a departmental studentship, and is not EPSRC funded. The successful candidate for this project will not be eligible for certain EPSRC-funded initiatives outside the PhD. Examples include UKRI Policy Internships and the Royal Institution Internships. However submission to the FoM Dean's PhD Professional Development Awards is permitted to fund other initiatives.

Project title: Investigating cardiac muscle microstructural changes as early marker of cardiac ageing and of cardiac disease development

Project abstract: The complex and unique microstructural arrangement of cells inside the heart muscle underlies cardiac contraction. Microstructural changes in the myocardium often precede macroscopic changes in heart disease and lead to poor outcomes in patients with identified cardiac pathologies.

 
We hypothesise that changes in heart muscle microstructure, micro-circulation, electrophysiology and omics are markers of ageing and precede overt macroscopic evidence of ageing, providing a unique opportunity for early intervention and sensitive monitoring of treatment efficacy.
 
Our group is leading development in cardiac diffusion tensor imaging (cDTI), the only method which can characterise cardiac muscle microstructure in vivo and non-invasively. By sensitising MRI contrast to the displacement of diffusing water molecules, cDTI delivers a diffusion tensor, reflecting the anisotropy and orientations of the structure on a microscopic scale. While diffusion-based MRI techniques are widely used clinically in less mobile organs such as the brain, cDTI is complicated by the orders of magnitude difference between cardiac motion and diffusion. As a result, cDTI is currently confined to clinical research due to its inefficiency, limited coverage and spatial resolution. A whole heart cDTI scan at modest spatial resolution currently requires ~4h. Artificial intelligence (AI) can speed up and improve cDTI data acquisition, reconstruction and post-processing. Our preliminary work has shown the utility of AI in denoising cDTI data, enabling simultaneous acquisition of multiple slices, enabling undersampled acquisitions and automated processing of the data. Here we propose physics and computer science based approaches to deliver substantial moves towards clinically useable cDTI via rapid whole heart high resolution cDTI and integration with the other physiologically grounded measures under development in our proposal.
 
We aim to develop a 30 min, AI enabled high resolution, whole heart cDTI acquisition, and merge cDTI data with IVIM, EP and spatial omics data to understand cardiac ageing.
Acoustoelectric Imaging for Transmural Ventricular Activation Mapping and 4D Substrate Characterisation

Primary supervisor: Professor Fu Siong Ng, National Lung and Heart Institute
Co-supervisor: 
Dr Carlos Cueto, Department of Earth Science and Engineering
Co-supervisor: Professor Mengxing Tang,  Department of Bioengineering

Note: Open to home and international candidates.
Tuition fees will be covered at the EPSRC rate (currently £5,006) and international candidates will be required to cover the remaining fees. International tuition fees are currently £45,850 per annum (in the Faculty of Medicine).

Project title: Acoustoelectric Imaging for Transmural Ventricular Activation Mapping and 4D Substrate Characterisation

Project abstract: Ventricular tachycardias (VT) are life-threatening arrhythmias responsible for significant morbidity and mortality. Although catheter ablation offers the potential for cure, recurrence rates remain unacceptably high - partly because existing electroanatomical mapping technologies are confined to the endocardial or epicardial surface and cannot resolve mid-wall (intramural) electrical activity. Critical arrhythmogenic substrates deep within the myocardium are therefore routinely missed, undermining the precision of ablation therapy.

This project will develop and validate acoustoelectric imaging (AEI) as a transformative new modality for cardiac electrophysiology. AEI exploits the acoustoelectric effect, whereby a focused ultrasound pulse interacts with tissue resistivity to generate electrical signals that encode local current density. This enables volumetric mapping of cardiac electrical activity with high spatial and temporal resolution - extending far beyond the tissue surface and through the full ventricular wall.

Working across Imperial College London's National Heart and Lung Institute and Department of Bioengineering, the PhD student will:

  1. build and optimise a cardiac AEI hardware and software platform
  2. characterise system performance in tissue-mimicking phantoms
  3. validate transmural 4D activation mapping against established techniques in isolated perfused hearts
  4. assess the ability of AEI to detect ablation lesions and differentiate healthy from scarred myocardium

The project will conclude with a translational design roadmap for future in vivo studies. Success will deliver the first imaging modality capable of capturing full-thickness ventricular activation sequences in four dimensions, with direct implications for improving ablation outcomes and reducing VT recurrence.

Applications closed - Multimodal 3D Reconstruction of the Human Heart to Uncover Links Between Structure, Gene Expression, and Cellular Niches

APPLICATIONS HAVE CLOSED FOR THIS PROJECT

Primary supervisor: Dr Michela Noseda, National Heart and Lung Institute
Co-supervisor: Dr Chris Cantwell, Department of Aeronautics
Co-supervisor: Dr Sonia Nielles-Vallespin, National Heart and Lung Institute

Note: Open to home and international candidates.
Tuition fees will be covered at the EPSRC rate (currently £5,006) and international candidates will be required to cover the remaining fees. International tuition fees are currently £45,850 per annum (in the Faculty of Medicine).

Project title: Multimodal 3D Reconstruction of the Human Heart to Uncover Links Between Structure, Gene Expression, and Cellular Niches

Project abstract: Cardiovascular disease remains a leading cause of death worldwide, yet the mechanisms that drive its onset and progression are still incompletely understood. A central challenge is that cardiac function emerges from the precise three-dimensional (3D) organisation of cardiac cells cells and their local environment. When this architecture becomes disrupted, as in cardiomyopathy, contractile performance declines. However, how changes in tissue structure relate to shifts in cell identity and intercellular communication remains largely unresolved.

Single-cell transcriptomics and spatial profiling studies indicate that cardiac cells are organised in distinct patterns across different cardiac regions reflecting different function. Early observations in diseased tissue suggest that these patterns are altered, pointing to a close coupling between structure and cellular behaviour. Yet most existing approaches lack the ability to capture these relationships in 3D or to integrate structural and molecular information across scales. There is therefore a critical need to study intact human myocardium using approaches that preserve both architecture and cellular context.

In this project, we will develop an integrated multimodal framework to reconstruct the human heart in 3D, combining advanced imaging, spatial molecular profiling, and computational modelling. This approach will enable us to map how myocardial structure aligns with cell identity and local communication networks in both health and disease.

This work will provide pipeline and a foundation for understanding how complex tissue architecture governs function in the human heart tissue and beyond. We expect to define key principles linking 3D tissue organisation to cellular state and interaction, and to identify features of structural disruption associated with disease.

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