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  4. Algorithmic Integration and Quantification of Endoscopic and 3D TEE Images in Mitral Valve Surgery
 
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2024
Conference Paper
Title

Algorithmic Integration and Quantification of Endoscopic and 3D TEE Images in Mitral Valve Surgery

Abstract
Minimally invasive surgery is the state-of-the-art approach for repairing the mitral valve, which controls the blood flow into the left heart chamber. The surgeons rely on camera and sensor technologies to support visualization, navigation, and measurement. As patients are connected to the cardio-pulmonary bypass, the anatomy is severely deformed by the altered pressure conditions. We developed a technique that combines stereo-endoscopic video with three-dimensional transesophageal echocardiography (3D TEE) to improve anatomic visualization and measurement accuracy during mitral valve repairs. Our methodology includes stereo camera calibration, image segmentation, and 3D model reconstruction. Anatomical landmarks are used to align the imaging modalities. This approach allows the visualization of pre-operatively determined mitral valve properties, e.g., overlaying heat maps in stereo endoscopic data. Our validation results showed high precision and accuracy within an error range of 0.5 ± 0.1 mm. The effectiveness of the heatmap visualization in complex prolapse cases varied. Integrating stereoscopic and 3D TEE promises greater precision in mitral valve repairs. In the future, this approach can also be used to visualize local tissue properties or the optimal locations of implants.
Author(s)
Ivantsits, Matthias
Charité – Universitätsmedizin Berlin
Hüllebrand, Markus
Fraunhofer-Institut für Digitale Medizin MEVIS  
Walczak, Lars
Fraunhofer-Institut für Digitale Medizin MEVIS  
Welz, Juri
TNG Technology Consulting GmbH
Greve, Dustin
Deutsches Herzzentrum Berlin
Wamala, Isaac A.
Deutsches Herzzentrum Berlin
Suendermann, Simon H.
Deutsches Herzzentrum Berlin
Kempfert, Jörg
Deutsches Herzzentrum Berlin
Falk, Volkmar
Deutsches Herzzentrum Berlin
Hennemuth, Anja
Fraunhofer-Institut für Digitale Medizin MEVIS  
Mainwork
Eurographics Workshop on Visual Computing for Biomedicine
Conference
2024 Eurographics Workshop on Visual Computing for Biology and Medicine, EG VCBM 2024
DOI
10.2312/vcbm.20241185
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
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