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Non-invasive analysis of blood pressure in the aorta

Supervisors

Suitable for

MSc in Computer Science
Computer Science, Part C

Abstract

Description: Blood pressure is a widely used biomarker to stratify and diagnose several cardiovascular diseases. Recent advances in imaging and computational techniques now enable the non-invasive assessment of blood pressure gradients in our central circulatory system (heart chambers and main vessels), and have the potential to improve our capability to understand disease processes of our cardiovascular system. This project will contribute to the development of these novel technologies, and to the analysis of the distribution of pressure fields in the human aorta. The student will engage with a project at its early stage, having the opportunity to feel the thrill of exploring novel clinical data never analysed before. He will engage in a multidisciplinary team with cardiologist from the John Radcliffe Hospital in the search for explanations and justification of findings.

Prerequisites: Motivation. Good analytical skills. Experience with finite element methods (Navier Stokes) and image analysis is an advantage.