Advances in two- and three-dimensional perioperative transesophageal echocardiographic imaging

This dissertation investigates new methods for the software-based analysis of two- and three-dimensional perioperative echocardiographic data. The goal is to establish a foundation for future developments in analyzing echocardiographic data and to demonstrate the potential and added value of software-based analysis of perioperative echocardiography as a complement to conventional imaging.
Echocardiography is a medical imaging technique that uses ultrasonic sound waves to create detailed images of a beating heart. It allows for the assessment of the heart’s structure and function, including heart valves, papillary muscles, and blood flow through the heart. It is a non-invasive procedure that aids in diagnosing and monitoring cardiac abnormalities, both in outpatient settings and in the operating room.
The dissertation is divided into three parts, each with a specific focus. Part one centers on the analysis of new software parameters for evaluating the mitral valve; part two examines the aortic valve, and part three focuses on the heart chambers.
With the integration of 3D and 4D echocardiography (3D over time) and the emergence of artificial intelligence, there are promising opportunities ahead for enhanced and personalized diagnostic and therapeutic approaches to heart disease in the future.