Multimodality image fusion for intraoperative guidance in transcatheter structural heart disease procedures

Sihong He; Siu-Chun M. Ho; Andrew Kuhls-Gilcrist; Todd Erpelding; Richard Smalling

doi:10.1117/12.3006558

30 March 2024 Multimodality image fusion for intraoperative guidance in transcatheter structural heart disease procedures

Sihong He, Siu-Chun M. Ho, Andrew Kuhls-Gilcrist, Todd Erpelding, Richard Smalling

Author Affiliations +

Proceedings Volume 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling; 1292823 (2024) https://doi.org/10.1117/12.3006558
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

Structural heart disease (SHD) is a recently recognized subset of heart disease, and minimally invasive, transcatheter treatments for SHD rely heavily on guidance from multiple imaging modalities. Mentally integrating the information from these images can be challenging during procedures and can take up time and increase radiation exposure. This study used the free Unity graphics engine and tailored LabVIEW and Python algorithms, along with deep learning, to merge echocardiography, CT-derived 3D heart models, and fiber optic shape sensing data with fluoroscopic imaging. Tests were performed on a patient specific ballistic gel heart model. This is the first attempt at fusing the above four imaging modalities together and can pave the way for more advanced guidance techniques in the future.

Citation Download Citation

Sihong He, Siu-Chun M. Ho, Andrew Kuhls-Gilcrist, Todd Erpelding, and Richard Smalling "Multimodality image fusion for intraoperative guidance in transcatheter structural heart disease procedures", Proc. SPIE 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling, 1292823 (30 March 2024); https://doi.org/10.1117/12.3006558

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