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Surgical Robotics

Why choose us as your partner in Robotic Assisted Surgery (RAS)?

RSIP Vision brings broad and deep experience to the table for developing novel algorithmic solutions for the surgical robotics segment. We have executed successful projects involving tool & tissue tracking, registration between different coordinate systems and segmenting tools and tissues.

AI and Computer Vision Technologies

Our team has vast experience with a set of different modalities, such as fluoroscopic images, CT, depth images, RGB images, and heat cameras, which enables our customers to quickly introduce  innovative systems into the market.

Optical Flow for RAS

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Optical Flow for RAS
  • Tissue tracking throughout the procedure
  • Highlight the tissue even when deformed or obscured by surgical tools
  • Improve procedural accuracy by identifying target tissue at all times

Tracking for RAS

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Tracking for RAS
  • Use RGB or IR cameras to track objects in the OR
  • Electromagnetic tracking can be used for catheter positioning
  • Implement SLAM to track endoscopes
  • Improve surgical precision by positioning OR tools in the patient’s coordinate system

3D Measurement in RAS

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3D Measurement in RAS
    Incorporate depth perception and 3D coordinate measurements into RAS
  • Accurate placement of tools relative to the anatomy
  • Precise measurement of pathologies
  • Improve procedural outcome and reduce perforation rate

Registration for RAS

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Registration for RAS
  • Linking surgical environment to anatomy
  • CT, MRI, X-ray, US, and RGB
  • Solving orientation, resolution, FOV, and dimensionality
  • Optimization-based registration
  • Correlations and mutual information

X-ray Calibration for RAS

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X-ray calibration for RAS

  • Connecting 3D real-life and 2D image projection
  • Flat-panel detectors (FD)
  • Image intensifiers (II)
  • Solving pincushion distortion
  • Solving S distortion
  • Solving vignetting distortion

3D Reconstruction during RAS

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3D reconstruction during RAS

  • Live and accurate 3D modeling
  • Reconstruction of anatomy
  • Reconstruction of robotic instruments
  • Internal RGB images
  • External X-ray images

General Case Study

Endoscopic Video Analysis

The challenge
  • An innovative start-up initiative in the endoscopy space wanted to quickly prove out a range of AI benefits for video analysis application
Our approach
  • The RSIP Vision R&D team, in close collaboration with in-house and client medical experts developed a multi-functional proof of concept
  • We quickly & efficiently built key capabilities including pathology detection, image segmentation, motion estimation, and image quality improvements
  • During the development process, RSIP Vision discovered novel AI use cases with strong additional business potential, enhancing our client’s value proposition
The outcome
  • Our support of this client led to a successful transaction with a large industry-leading corporation
  • We developed & delivered novel core technologies, providing a strong basis for full solution development
  • At this time, production and solution development is underway in continued partnership with RSIP Vision

Learn more

Learn more solutions and technologies from this field

PR – Intra-op Virtual Measurements in Laparoscopic and Robotic-Assisted Surgeries

RSIP Vision Presents New Technology for Intra-op Virtual Measurements in Laparoscopic and Robotic-Assisted Surgeries Innovative Technology Provides Calibration of Robotic-Assisted Surgeries’ (RAS) Images and a Platform for Accurate Measurement, Especially During Trauma and Acute Care Surgery Cases. TEL AVIV, Israel & SAN JOSE, Calif., January 25, 2022 – RSIP Vision, an experienced leader in driving innovation for medical imaging through advanced Artificial Intelligence (AI) and computer vision solutions, today announces a new supporting technology for intraoperative video analysis. This technology provides real-time, accurate anatomical measurements in surgical videos, supporting a

Read More
Success Rating and Dynamic Feedback in RAS

Success Rating in Robotic Assisted Surgeries

Success Rating and Dynamic Feedback Minimally invasive surgeries (MIS), specifically robotic assisted surgeries (RAS), generally have an improved outcome compared with standard surgeries. However, they are not free of adverse events (AE). These undesired events can be a result of human error or equipment malfunction. Early detection of the event is essential for treatment and can reduce mortality rate and extra hospitalization time significantly. RASs are normally video guided – whether using regular, endoscopic cameras, depth cameras, or a combination of them. This continuous video feed can be used to

Read More
RAS Navigation

Tissue Sparing in Robotic Assisted Orthopedic Surgeries

Orthopedic surgeries such as hip or knee replacement are performed via an incision which often compromises the surrounding tissue. The assimilation of RAS into these surgeries significantly decreases the incision size and allows sparing of more tissue compared with standard surgeries. In addition, RAS possess higher accuracy and precision during the procedure. The combination of smaller incision, less damage to nearby tissue, and better accuracy for implant placement, results in faster recovery, lower pain levels reported, and fewer complications. Improve Procedural Planning with AI The first step towards a tissue

Read More
C Arm X-Ray Machine Scanner

Radiation Reduction in Robotic Assisted Surgeries (RAS) Using AI

Fluoroscopy is an extremely useful imaging tool in surgical procedures in orthopedics, cardiology, GI, etc.  In some cases, it is used as a real-time modality and it is a well-established method for image interpretation. Recent advancements in AI and computer vision technology also allow 3D reconstruction from these images, as well as fusion to other modalities, making it a better tool for navigation. The main detriment of fluoroscopy is the ionizing x-ray radiation which penetrate the human body and can cause long-term damage. Increased risk of cataracts as well as

Read More
Visible spectrum color

Hyperspectral Imaging for Robotic Assisted Surgery

Standard imaging techniques make use of the visible light spectrum. As is known, the visible light is divided into three bands – red, green, and blue (RGB). This artificial division is very useful for visibility, however, pertinent information from different wavelengths is disregarded. Hyperspectral imaging utilizes this data to improve the visible image we see. How does it work? Hyperspectral imaging requires that only a specific band from the spectrum will be recorded. This can be done by using a sensor that is sensitive to a unique part of the

Read More
RAS Navigation

AI for Navigation in Robotic Assisted Surgeries

Every Robotic Assisted Surgeries (RAS) requires some level of navigation. While in open surgery the target is viewed directly, minimally invasive RAS views come from inside the body cavity, with a restricted field-of-view (FOV). Also, the surgeon’s hands are occupied with the tools, whereas the camera is controlled by an assistant, adding another complication to the procedure – requiring perfect collaboration between them. Another challenge arises from anatomical and physiological differences between patients which make it difficult to accurately position surgical tools and recognize target organs. In gastroscopies or colonoscopies,

Read More

PR – Intra-op Virtual Measurements in Laparoscopic and Robotic-Assisted Surgeries

RSIP Vision Presents New Technology for Intra-op Virtual Measurements in Laparoscopic and Robotic-Assisted Surgeries Innovative Technology Provides Calibration of Robotic-Assisted Surgeries’ (RAS) Images and a Platform for Accurate Measurement, Especially During Trauma and Acute Care Surgery Cases. TEL AVIV, Israel & SAN JOSE, Calif., January 25, 2022 – RSIP Vision, an experienced leader in driving innovation for medical imaging through advanced Artificial Intelligence (AI) and computer vision solutions, today announces a new supporting technology for intraoperative video analysis. This technology provides real-time, accurate anatomical measurements in surgical videos, supporting a

Read More
Success Rating and Dynamic Feedback in RAS

Success Rating in Robotic Assisted Surgeries

Success Rating and Dynamic Feedback Minimally invasive surgeries (MIS), specifically robotic assisted surgeries (RAS), generally have an improved outcome compared with standard surgeries. However, they are not free of adverse events (AE). These undesired events can be a result of human error or equipment malfunction. Early detection of the event is essential for treatment and can reduce mortality rate and extra hospitalization time significantly. RASs are normally video guided – whether using regular, endoscopic cameras, depth cameras, or a combination of them. This continuous video feed can be used to

Read More
RAS Navigation

Tissue Sparing in Robotic Assisted Orthopedic Surgeries

Orthopedic surgeries such as hip or knee replacement are performed via an incision which often compromises the surrounding tissue. The assimilation of RAS into these surgeries significantly decreases the incision size and allows sparing of more tissue compared with standard surgeries. In addition, RAS possess higher accuracy and precision during the procedure. The combination of smaller incision, less damage to nearby tissue, and better accuracy for implant placement, results in faster recovery, lower pain levels reported, and fewer complications. Improve Procedural Planning with AI The first step towards a tissue

Read More
C Arm X-Ray Machine Scanner

Radiation Reduction in Robotic Assisted Surgeries (RAS) Using AI

Fluoroscopy is an extremely useful imaging tool in surgical procedures in orthopedics, cardiology, GI, etc.  In some cases, it is used as a real-time modality and it is a well-established method for image interpretation. Recent advancements in AI and computer vision technology also allow 3D reconstruction from these images, as well as fusion to other modalities, making it a better tool for navigation. The main detriment of fluoroscopy is the ionizing x-ray radiation which penetrate the human body and can cause long-term damage. Increased risk of cataracts as well as

Read More
Visible spectrum color

Hyperspectral Imaging for Robotic Assisted Surgery

Standard imaging techniques make use of the visible light spectrum. As is known, the visible light is divided into three bands – red, green, and blue (RGB). This artificial division is very useful for visibility, however, pertinent information from different wavelengths is disregarded. Hyperspectral imaging utilizes this data to improve the visible image we see. How does it work? Hyperspectral imaging requires that only a specific band from the spectrum will be recorded. This can be done by using a sensor that is sensitive to a unique part of the

Read More
RAS Navigation

AI for Navigation in Robotic Assisted Surgeries

Every Robotic Assisted Surgeries (RAS) requires some level of navigation. While in open surgery the target is viewed directly, minimally invasive RAS views come from inside the body cavity, with a restricted field-of-view (FOV). Also, the surgeon’s hands are occupied with the tools, whereas the camera is controlled by an assistant, adding another complication to the procedure – requiring perfect collaboration between them. Another challenge arises from anatomical and physiological differences between patients which make it difficult to accurately position surgical tools and recognize target organs. In gastroscopies or colonoscopies,

Read More
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