Medical imaging company RSIP Vision revealed its new coronary artery modeling technology which enables quick and accurate reconstruction of the coronary vasculature during angiography into a 3D model.
Th technology is designed to be used for precise measurements of arterial length and diameter at any point, quantitative coronary angiography (QCA), including delineation of potential luminal obstructions, virtual stent positioning and vessel modification for intervention planning. This new vendor-neutral technology will be available to third-party C-arm manufacturers and medical devices vendors.
“Coronary angiography is a common diagnostic medical procedure that may involve a therapeutic/interventional stage if significant pathological findings are encountered,” says Ron Soferman, CEO at RSIP Vision. “Following the diagnostic imaging step, the data can be reconstructed to a 3D model and used for detection, diagnosis, and characterization of coronary artery stenosis. This technology will be useful in percutaneous coronary intervention (PCI) planning, reducing the need for additional interventions and decreasing the chance of adverse events due to incorrect stent selection.”
RSIP Vision’s model can be used to better visualize artery structure and measure vessel dimensions in points-of-interest. More advanced capabilities, enabled using deep learning technologies, are stenosis detection, 3D QCA, and can even be the baseline for computerized FFR measurement. Additional modules can show anticipated post-procedural arterial modification/outcome because of stent placement or place a virtual stent in the desired position within the coronary artery.
“Pre-procedural PCI planning and intra-procedural analysis, appraisal and proper execution form the pillars of an uneventful invasive coronary intervention,” says David Yakobi, MD, board certified cardiac surgeon/medical consultant. “Automated technologies that would allow better anatomical and pathological visualization and appreciation, as well as AI-based algorithms for coronary lesion characterization, will augment the procedural success, decrease the complication rate and (based on a very broad scientific literature) have the potential of increasing stent patency rate and patients’ long-term survival.”
Featured Image: RSIP Vision’s new coronary artery modeling tech enables quick and accurate reconstruction of the coronary vasculature during angiography into a 3D model. Photo: RSIP Vision