Prof Zion Tse
PhD, CEng, FIET, FIMechE, SMIEEE
Research Funding
On this page:
Current Funded Research Projects
AI-guided Prostate Biopsy The AMS Professorship will enable the team to clinically validate next-generation interventional technology for affordable image fusion with a small footprint and translate it to clinical practice. The team's planned project, a collaboration between his lab and Addenbrooke’s Hospital, will aim to improve freehand transperineal prostate cancer biopsy by developing an integrated 3D MRI-US image fusion system built upon state-of-the-art AI techniques. This system will help clinicians precisely navigate needles to lesions in the prostate for more effective diagnosis and treatment. |
Development and Validation of Smartphone-Based Tools for Characterisation of Gait This project aims to develop and validate smartphone-based tools for characterising gait. By utilizing the sensors and capabilities of modern smartphones, the project seeks to provide accessible, accurate, and cost-effective solutions for gait analysis, benefiting both healthcare providers and researchers in diagnosing and monitoring gait-related conditions. |
MRI-guided Focal Laser Ablation for Prostate Cancer Treatment Prostate cancer is one of the most common malignancies in males and has now become the second leading cause of cancer mortality. Prostate cancer diagnosis has increased from 3.9% to 8.2% of the population in the past decade. Approximately 52,300 new cases of prostate cancer are diagnosed in the United Kingdom every year, which is equivalent to more than 140 cases every day. In this study, a robotic platform used for MRI-guided prostate therapy, including both biopsy and ablation, will be developed and validated. As compared to all the listed MR-safe robot platforms, the presented design will have a compact size. This allows it to be placed inside the MRI scanner more conveniently, making the therapy process more efficient. Moreover, the use of pneumatic stepper actuators will reduce the affection of EMI generated by piezoelectric motors, and all the other parts are made of plastic, which makes the whole system MR safe. |
Remote Vital Signs Monitor for Infection Control or Fall Prevention Recent miniaturisation developments in electronic systems have resulted in a wearable technology boom. This in turn has led to an increase in both vital sign monitoring and research into non-invasive and continuous monitoring methods. Various studies have shown the feasibility of using seismocardiogram (SCG) in heart rate variation (HRV) analysis and diagnostic purposes. This funding aims to build upon the research done on SCG through development of a novel, real time Android based system which can calculate the heart rate and the respiratory rate of patients. |
Previous Funded Research Projects
Cost-effective Lung Biopsy with Intraoperative Electrical Impedance Sensing and Artificial Intelligence Navigation Lung cancer is the second most common cancer in both men and women. More than one million lung cancer cases are diagnosed worldwide each year. Among all types of cancers in the United States and worldwide, it has the highest mortality rate. Early detection with higher yield tissue diagnosis, as well as accurate localization during lung interventions may help reduce the negative impact, death rate, and overall population cost of lung cancer. Accurate and timely clinical information facilitates patient-specific therapy decisions, resulting in improved clinical outcomes. Engineering approaches that are low in cost and accurate, alongside verification of biopsy needle within solid abnormal tissue (and not normal non-target lung), can significantly improve the accuracy of the diagnosis. These further helps clinicians make the optimal decision via a lung treatment decision tree. |
Smartphone Application For Effective Prostate Cancer Screening With Machine Learning Enhanced PSA-density Measurement Prostate cancer (PCa) is the most type of cancer amongst men. Prostate-specific antigen (PSA) testing is the first-line investigation used for referral to secondary care. Less than half of the 120,000 patients each year referred in the UK are ultimately diagnosed with PCa, highlighting the inefficiencies in the system. These inefficiencies include the use of MRI as an expensive resource and biopsy as an invasive procedure. A common reason for raised PSA levels is benign gland overgrowth, and therefore PSA-density corrects for overgrowing gland volume, and therefore has utility for and indicating the presence of clinically significant cancer. Ultrasound (US) can measure gland volume provide such information. However, this US is currently performed in secondary care by specialised practitioners, which increases costs and may delay cancer treatment pathways. Making US volume calculations automated, cheap, and potentially available in primary care would address such limitations. The aims of this project are to develop a prototype device for automated US measurement of prostate volume and validate performance in a patient cohort. |