PhD Student
Department of Radiology, University of Cambridge School of Clinical Medicine.
Email: Jin Zheng
Profile
Jin Zheng started his PhD, supervised by Dr. Jonathan Weir-McCall and Prof. Martin Graves, in 2020. He graduated with B.A., M.Eng., and M.A. from the Engineering Department, University of Cambridge.
Zheng’s PhD thesis is titled Prediction of the Coronary Heart Disease Development: A Study Based on the Combination of Mechanomics and Radiomics. Coronary computed tomography angiography (CCTA) images contain considerable information about the coronary artery from its geometry to the surrounding tissues. Zheng’s research aims to find deeper correlations between coronary artery-related diseases and features from the CCTA images through image analysis, morphology and hemodynamics. He is currently developing a Python and Qt-based platform to enable batch processing and automation from original images and segmentations to radiomic and mechanomic features extraction. Major functions of the platform include preliminary segmentation correction, mesh generation, ADINA simulation, postprocessing and feature extraction. The platform is currently used for the analysis of the anomalous aortic origin of coronary artery (collaboration with Shandong University), the myocardial bridging (collaboration with Nanjing Medical University) and the SCOT-HEART dataset.
Jin Zheng is also the Vice President of the Cambridge Chinese Scholar and Student Association (CSSA) for the 2022-2023 academic year. He is collaborating with Dr. Zhongzhao Teng (Nanjing Jingsan Medical Science and Technology, Ltd., Jiangsu, China & Tenoke, Ltd., Cambridge, UK) as well as the radiology department of Beijing Anzhen Hospital and the nuclear medicine department of Peking Union Medical College & Chinese Academy of Medical Sciences.
Publications
Shi Y*, Zheng J*, Yang N, Chen Y, Sun J, Zhang Y, Zhou X, Gao Y, Li S, Zhu H, Acosta-Cabronero J, Xia P, Teng Z (2022), “The effect of subbranch for the quantification of local hemodynamic environment in the coronary artery: a CTA-based computational fluid dynamic analysis” Emergency and Critical Care Medicine (* co-first authors)
Yu X, Teng Z, Chen Y, Gao L, Zhou A, Shen J, Ma W, Wier-McCall J, Umar S, Zhang L, Zheng J, Wang X, “Quantification of the difference between diastolic and systolic CTA-based computational fluid dynamic analysis for anomalous coronary arteries” submission to European Radiology
Shi Y*, Zheng J*, Zhang Y, Shen J, Gao Y, Sun J, Yang N, Zhou X, Li S, Chen Y, Acosta-Cabronero J, Weir-McCall J, Xia P, Teng Z “The influence of flow distribution strategy for the quantification of pressure- and wall shear stress-derived parameters in the coronary artery: a CTA-based computational fluid dynamics analysis” submission to Annals of Biomedical Engineering
Zhang Z, Tang H, Shen J, Zheng J, Gao W, S Umar, Wang M, Wang Y, Teng Z, Chen Y, “Automatic classification and segmentation of atherosclerotic plaque in the coronary artery based on optical coherence tomography” Computer Methods and Programs in Biomedicine
