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  4. Integrated multi-modal image fusion and quantification for advanced visualization in mitral valve surgery
 
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2025
Conference Paper
Title

Integrated multi-modal image fusion and quantification for advanced visualization 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 a 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. In the future, this approach can also be used to visualize local tissue properties or the optimal positions of implants.
Author(s)
Ivantsits, Matthias
Charité – Universitätsmedizin Berlin
Hüllebrand, Markus
Charité – Universitätsmedizin Berlin
Walczak, Lars
Fraunhofer-Institut für Digitale Medizin MEVIS  
Greve, Dustin
Deutsches Herzzentrum Berlin
Wamala, Isaac A.
Deutsches Herzzentrum Berlin
Suendermann, Simon H.
Deutsches Zentrum für Herz-Kreislauf-Forschung e. V.
Kempfert, Jörg
Deutsches Zentrum für Herz-Kreislauf-Forschung e. V.
Falk, Volkmar
Deutsches Zentrum für Herz-Kreislauf-Forschung e. V.
Hennemuth, Anja
Fraunhofer-Institut für Digitale Medizin MEVIS  
Mainwork
Progress in Biomedical Optics and Imaging Proceedings of SPIE
Funder
Bundesministerium für Bildung und Forschung  
Conference
Medical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling
DOI
10.1117/12.3048908
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
Keyword(s)
  • Fusion

  • Image segmentation

  • Matching

  • Multi-modal

  • Reconstruction

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