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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. 

Board members

Prof. Daniel Alexander, Centre for Medical Image Computing (CMIC) and Department of Computer Science.

Dr. Rebecca Shipley, Institute of Healthcare Engineering and Department of Mechanical Engineering.

Prof. Dave Hawkes, Wellcome-EPSRC Interventional and Surgical Science (WEISS) Centre and Department of Medical Physics.

Dr. Shonit Punwani, Centre for Medical Imaging and Department of Academic Radiology.

Prof. Frederik Barkhof, Institute of Neurology and Department of Medical Physics.