News | Cath Lab | December 14, 2021

New RSIP Vision Technology Aids Noninvasive Planning of Coronary Intervention

Technology provides accurate coronary artery 3D reconstruction from 2D angiography for diagnosis, measurements, stent modeling, and characterization for procedural planning

RSIP Vision introduced a new coronary artery modeling technology that enables quick and accurate reconstruction of the coronary vasculature during angiography into a 3D model in the cath lab.

RSIP Vision introduced a new coronary artery modeling technology that enables quick and accurate reconstruction of the coronary vasculature during angiography into a 3D model in the cath lab.


December 14, 2021 — RSIP Vision, a medical imaging company applying advanced artificial intelligence (AI) and computer vision solutions, introduced a new coronary artery modeling technology. It enables quick and accurate reconstruction of the coronary vasculature during angiography into a 3D model. This can 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, OEM 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,” said 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.”

Developing capabilities for additional interventions during PCI planning requires utilization of state-of-the-art deep learning (DL) algorithms combined with classic computer vision methods to create a 3D model of the coronary arteries accurately, rapidly, and automatically. 

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 DL, are stenosis detection, 3D QCA, and can even be the baseline for computerized fractional flow reserve (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. These uses may supplement already existing clinical and imaging tools and, in some cases, even replace invasive cardiac measurements, and give the physician a better pre-procedure planning tool for stent selection.
 
“Pre-procedural PCI planning and intra-procedural analysis, appraisal and proper execution form the pillars of an uneventful invasive coronary intervention,” said David Yakobi, M.D., board certified cardiac surgeon and 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."

He said this module from RSIP Vision has the potential of becoming an automated, human error and bias-free tool, for classifying coronary artery disease based on the SYNTAX score. "It can basically behave as an independent heart team for decision-making purposes between PCI and CABG (Coronary Artery Bypass Graft) surgery,” Yakobi said.

About RSIP Vision

RSIP Vision is developing visual intelligence for medical devices through advanced AI and computer vision applications. RSIP Vision offers clinical-grade AI modules that provide medical device companies with advanced visual intelligence capabilities, to stay ahead of the rapid AI adoption curve and maintain their competitive edge. The software can be found in medical devices in leading facilities worldwide.

RSIP Vision is headquartered in Jerusalem, and has a U.S. office in San Jose, Calif.

For more information: www.rsipvision.com

Find more cath lab technology

Find more advanced visualization technology
 

Related Content

News | Cath Lab

May 31, 2022 — Innovative Health, LLC, a specialty cardiology reprocessor, announced that the company has received ...

Home May 31, 2022
Home
News | Cath Lab

May 26, 2022 — The U.S. Food and Drug Administration (FDA) has recalled the Dragonfly OpStar Imaging Catheter, and has ...

Home May 26, 2022
Home
News | Cath Lab
April 25, 2022 – NewYork-Presbyterian Hudson Valley Hospital celebrated the launch of its interventional cardiology ...
Home April 25, 2022
Home
News | Cath Lab
April 18, 2022 – Royal Philips and Oulu University Hospital (Finland) have announced a strategic 10-year partnership ...
Home April 18, 2022
Home
News | Cath Lab
February 16, 2022 – Fremont Bank Foundation recently donated $750,000 to its community partner, St. Rose Hospital ...
Home February 16, 2022
Home
News | Cath Lab
February 14, 2022 — A collaborative effort between The Valley Heart and Vascular Institute’s cardiology team ...
Home February 14, 2022
Home
Sponsored Content | Videos | Cath Lab

Advancements in analytics and data visualizations are helping to streamline operations and improve productivity at cath ...

Home January 13, 2022
Home
News | Cath Lab

January 4, 2022 — The U.S. Food and Drug Administration (FDA) has authorized marketing of the first laser-based device ...

Home January 04, 2022
Home
Feature | Cath Lab

November 15, 2021 — RealView Imaging Ltd. recently received FDA 510(k) clearance for its Holoscope-i holographic system ...

Home November 15, 2021
Home
News | Cath Lab

November 10, 2021 — Shockwave Medical a pioneer in the development of Intravascular Lithotripsy (IVL) to treat severely ...

Home November 10, 2021
Home
Subscribe Now