Joao de Sousa Domingos
CDT Postgraduate Studentship in Healthcare Innovation (RCUK Digital Economy Programme grant number EP/G036861/1)
Automated Analysis of 3D+T Echocardiography Imaging: Towards an Improved Clinical Diagnosis
Real-time 3D echocardiography (RT3DE) is an imaging modality that is increasingly used in clinical practice to assess cardiac function. RT3DE promises dynamic 3D image acquisition with the potential of a more objective and complete cardiac functional analysis than the conventional 2D echocardiography, the backbone of echocardiography imaging in current clinical practice. Some of the drawbacks of RT3DE is the time it takes the clinician to navigate the 3D volumes to the anatomy of interest, to obtain standardized views that are similar to the 2D acquisitions or to perform volumetric cardiac function quantification. RT3DE uptake has also been slow due to imaging challenges such as missing anatomical information, speckle noise and limited field-of-view. To automate the clinical workflow and facilitate the subsequent processing tasks, this doctoral research focusses on providing cardiologists (or sonographers) with novel tools for utilizing 3D echocardiography data in clinical practice. It evaluates image quality and information content of 3D volumes to design and test computer vision and machine learning algorithms, aiming for the automated real-time detection of standardized echocardiographic imaging planes, left and right ventricle volume estimation and wall motion analysis.