Over this six-week programme, students will work on an academic research project aligned with current research areas in the school, carrying out experiments to develop a solution to a pressing medical problem.
Projects
The projects allocated on this module will be aligned with the School of Biomedical Engineering and Imaging Sciences’ current research areas, addressing unmet patient needs.
Students will be placed alongside lab group members working in similar research fields, and expected to fully participate in the life of the lab group. Students will receive guidance on new scientific techniques required for their experiments.
Projects available:
Project 1: Development and evaluation of a robotic system for endovascular repair of aortic aneurysms
Aims: The aim of this project is to develop a novel robotic system for endovascular aortic aneurysm repair, featuring innovative design elements to address the limitations of existing commercial systems. Specifically, we will focus on development of a robotic platform that employs a shared-autonomy paradigm. In this system, the surgeon guides the catheter carrying the stent graft to the aneurysm, while the robot precisely positions and aligns the stent graft. This shared-control system will be designed with a minimised size and lower cost. We will evaluate this system by simulating fenestrated EVAR on an anthropomorphic aorta phantom. The work will be extended to evaluate automation of the entire procedure, with minimal operator intervention.
Project 2: Simulation for endovascular aortic repair
Aims: Endovascular aortic repair (EVAR) is an established treatment for aortic aneurysmal disease, offering lower morbidity and mortality compared to open surgery. Fenestrated endovascular aortic aneurysm repair requires precise planning and positioning to prevent misalignment. Branched endovascular aortic aneurysm repair with external branches conforms to a wider range of anatomies but requires a wider working aortic lumen and longer aortic cover, posing a risk of spinal cord ischaemia. There are no in vivo, in vitro, or in silico studies to understand the haemodynamic effects of different repair designs. This project attempts to build and test a bench model to investigate this.
Project 3: Development and evaluation of cardiac phantoms for cardiac ablation therapy simulation
Aims: The project aims to develop and evaluate novel cardiac phantoms that can be used for training cardiologists for ablation procedures. The phantoms will be designed using patient images and additive manufacturing. Challenges include the use of flexible filaments for 3D printing, thermochromic paints for recording ablations, and simulation of electrical activity.
Project 4: Development and evaluation of a low-cost cold liquid extrusion 3D printer
Aims: The project aims to develop and evaluate a low-cost 3D printer for direct extrusion of cold liquid media, such as hydrogels. Our team has already developed a prototype, and this project will aim to refine this prototype to achieve robust printing.
Project 5: Denoising X-ray fluoroscopy images using deep learning
Aims: The project aims to evaluate the use of deep learning algorithms to denoise X-ray fluoroscopy images. We have already developed a series of convolution neural networks to perform the image denoising and evaluated these. The project will focus on the evaluation of our latest networks in the clinical setting of the cardiac catheterisation laboratory.
Project 6: Repairing and reproducing skeletons using 3D printing
Aims: This project will involve using state-of-the-art technology to repair and reproduce a range of animal skeletons for the Museum. We will use the Einscan Pro+ surface scanning system or computer tomography scanning to create 3D models of the skeletons. These will then be 3D printed using our range of additive manufacturing facilities at Guy’s and St. Thomas’ hospitals and ported to our online 3D viewing environment, King’s Virtual Anatomy & Histology. The models will be evaluated by our team of anatomists and used for teaching and learning in the School of Life Sciences and Medicine at King’s.
Project 7: Robotic abdominal aortic aneurysm ultrasound scanning
Aims: Medical robotic systems have been used clinically since the 1980s and have since proliferated in many different fields. We have developed a robotic system, as shown in the figure, for holding and controlling an extra-corporeal ultrasound probe. With its potential for high precision, dexterity, and repeatability, the self-tracked robotic system can be employed to improve the acquisition and utility of real-time ultrasound. This may include field of view extension resulted from the integration of several 2-D images, multi-modality image fusion for improved visualization and robotic-based advanced ultrasound-guided surgery. This project will use the robotic system and an abdominal aortic aneurysm (AAA) phantom to explore the use of the robot in AAA screening.
Project 8: Development and evaluation of physical anatomical models for surgical simulation
Aims: The project will identify an area of need where anatomical models may be effective. We will used medical image data to create computer models of the target anatomy. These will then be manufactured using the knowhow and techniques that we have developed within the research team over the last 10 years. An evaluation study will be formulated to measure the effectiveness of the models in the target scenario. We cover a large range of organs, organ systems and parts of the body – head and neck, brain, thorax, heart, lungs, limbs, hands, kidneys, prostate, reproductive system, vascular structures, etc.
All research projects can be studied on campus in London. Projects will be allocated on an ongoing basis. If you require further information on any of the projects listed above, please email summer@kcl.ac.uk.