Dr Jiaqiu Wang

My research focuses on biomechanics and biomedical engineering. I've gained extensive experience in several cross-disciplinary fields, including computational modelling and simulation, medical imaging and processing, as well as mechanical and fluidic experiments.

My research area lies within biomedical engineering, with a primary focus on the computational biomechanical analysis of the cardiovascular system. I've made notable contributions, including the development of an innovative algorithm that automatically reconstructs 3D patient-specific coronary atherosclerotic models using optical coherence tomography (OCT) data. This algorithm significantly improves the accuracy and efficiency of generating personalized models for further analysis.
I've also successfully integrated the fluid-structural interaction (FSI) analytical model into patient-specific cardiovascular models, providing a more comprehensive understanding of the complex interactions between blood flow and the vessel wall. One significant application is the development of a protocol for assessing plaque vulnerability based on biomechanical risk factors using FSI computational models. This protocol has had a substantial impact on clinical decision-making and treatment strategies in patient-specific clinical cases involving carotid and coronary arteries.
In addition to these contributions, I've conducted novel investigations using the FSI model to explore the hemodynamic environment in a cyclic bending coronary artery under different heart rates, as highlighted in my most recent published research.
Beyond mechanical and fluidic computational models, I have extensive experience in working in medical imaging analysis. I currently lead a collaborative team working on an innovative imaging-based method for analysing displacement and strain. Our approach combines optical coherence tomography (OCT) imaging with the digital volume correlation (DVC) algorithm. Furthermore, we actively implement digital imaging/volume correlation (DIC/DVC) and optical flow (OF) algorithms on 4D-CT/MR imaging data of heart chambers or aneurysms, allowing us to track the displacement of these structures over time and calculate biomechanical parameters such as strain.
In the field of MR imaging processing, I've conducted research on fitting the intravoxel incoherent motion (IVIM) sequence using a quasi-diffusion equation, offering potential applications in differentiating glioblastoma by analysing diffusion and perfusion parameters. Additionally, I bring valuable experience in analysing CT imaging of bone structures.

CSI_7_SYS, Cyber Threats, Vulnerabilities and Countermeasures CSI_6_SCS, Systems and Cyber Security