Integration of 3D ultrasound into electrophysiology for support of ablation procedures
The background of this project is electrophysiology (EP) interventions for treatment of heart rhythm disorders. These interventions are cumbersome, lengthy and costly, and have limited success rate, mainly since the physician does not have direct 3D visual feedback of what he’s doing.
n this project, we aim at helping the physician with visual feedback by developing automated 3D ultrasound (US) image analysis methods. These methods are based on new US probes for support and monitoring of EP interventions. The highly improved visual feedback and accuracy during the intervention will lead to shorter and cheaper procedures with improved success rates. The novel 3D US image processing methods include optimal 3D image reconstruction and volume fusion, model-based segmentation of such data, detection and tracking of catheters and anatomical features/landmarks, and image registration between US image data and electro-anatomical surface mapping, CT or MR. We will apply a novel transnasal transesophageal (TnTEE) cardiac ultrasound probe suitable for patient monitoring and robotic
The novel 3D US image processing methods include optimal 3D image reconstruction and volume fusion, model-based segmentation of such data, detection and tracking of catheters and anatomical features/landmarks, and image registration between US image data and electro-anatomical surface mapping, CT or MR. We will apply a novel transnasal transesophageal (TnTEE) cardiac ultrasound probe suitable for patient monitoring and robotic