Healthcare Engineering & Imaging

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Healthcare Engineering & Imaging

The Healthcare Engineering and Imaging (HE&I) theme aims to revolutionise patient care by delivering world-class technologies to address key unmet needs across clinical specialities. This is a cross-cutting theme which will be applied by clinicians and researchers to all the clinical research themes of the BRC. 

By combining the world-leading expertise of UCL and UCLH in image acquisition, image reconstruction, image processing, computational modelling and image-guided surgery this theme will work towards improving diagnostics, personalising therapies and providing image-guided therapeutic interventions across clinical research. 

The long-term strategies of this theme are focused in two main areas: 

Innovative imaging for patient benefit 
By incorporating state-of-the-art imaging methods with standard radiological assessments used in hospitals it is possible to offer faster and more accurate diagnosis, treatment assessment, monitoring and outcome prognosis across clinical practice. New imaging acquisition techniques are being built to interact with currently used pieces of hardware, such as MRI and Ultrasound. The new functions will provide additional insights and data allowing us to better understand the structure and function of the whole body. In addition, quantitative imaging will enable automatic analysis of imaging data, providing a fast way of injective results into the existing clinical pathway. The objective analysis methods will provide patients with earlier and more accurate diagnosis, improve treatment and enhance radiology services effectiveness. 

Novel instruments and sensors for optimised surgery
Image-guided interventions have the potential to reduce tissue trauma, surgical complications, procedure length and duration of hospital stays for patients through more precise minimally invasive surgery. Research in this area will focus on developing a new surgical platform with ergonomic instruments and smart sensors which respond to anatomical, physiological and pathological cues. By having equipment which responds to the environment in question we can optimise surgical performance across clinical practice. 


The BRC's III theme has made the following awards so far in 2019:

Andreas Demosthenous – Biosensor for fast pOint-of-care Blood Analysis of Troponin

Paul Beard – Clinical translation of photoacoustic imaging for the assessment of rheumatoid arthritis

Joseph Jacob – Using Deep Learning of CT Features to Predict Survival and Identify Disease Subtypes in Fibrosing Lung Disease

Rui Loureiro – VR & Robotic Treatment of Neuropathic Pain

Geoffrey Parker – Tumour mimetic phantoms for diffusion MRI standardisation (TumoMim)

Neil Oxtoby – MC-PMT-D3PM: Memory Clinic Patient Management Tools from Data-Driven Disease Progression Modelling           

Ryo Torii – Biomechanicial insight into failed coronary arterial bypass grafts in high risk, vulnerable patients with poor ventricles

Jamie McLelland – Image Analysis for Studying Radiotherapy Induced Lung Damage (RILD)

Pier Lambiase – Integration of electrophysiological and structural myocardial mapping to personalise treatment and improve ablation outcomes

Stavroula Babalani – OPTIMAL – Objective, Personalised Treatment of Peripheral Arteriovenous Malformations via a Novel Platform Combining Engineering and Imaging Tools

Ivana Drobnjak – Learning from high-dimensional data to quantify intra-operative risk in frailty and map patient outcome

Margaret Hall Craggs – Optimisation of a multiparametric, quantitative MRI tool for assessment of bone and joint health in inflammatory disease.

Our Team: 
Professor Danny Alexander
Healthcare Engineering & Imaging Theme Director