Skip to content
  • Our Work
    • Fields
      • Cardiology
      • ENT
      • Gastro
      • Orthopedics
      • Ophthalmology
      • Pulmonology
      • Surgical Intelligence
      • Surgical Robotics
      • Urology
      • Other
    • Modalities
      • Endoscopy
      • Medical Segmentation
      • Microscopy
      • Ultrasound
  • Success Stories
  • Insights
    • Magazine
    • Upcoming Events
    • Webinars
    • Meetups
    • News
    • Blog
  • The company
    • About us
    • Careers
Menu
  • Our Work
    • Fields
      • Cardiology
      • ENT
      • Gastro
      • Orthopedics
      • Ophthalmology
      • Pulmonology
      • Surgical Intelligence
      • Surgical Robotics
      • Urology
      • Other
    • Modalities
      • Endoscopy
      • Medical Segmentation
      • Microscopy
      • Ultrasound
  • Success Stories
  • Insights
    • Magazine
    • Upcoming Events
    • Webinars
    • Meetups
    • News
    • Blog
  • The company
    • About us
    • Careers
Contact

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 a variety of cancers, such as breast cancer, thyroid cancer, burns, are prevalent in all those involved in fluoroscopy guided procedures – surgeons, OR staff, and in some cases also the patients.

A Vector radiation sign

How to Lower Radiation Exposure?

Minimizing exposure to radiation for all involved in the procedure is essential. The precautionary principle used for this is ALARA – As Low As Reasonably Achievable – essentially aiming to use as little radiation as possible without compromising the procedure. One method to lower radiation exposure is low-dose imaging. This results in grainy images with low signal-to-noise ratio, making them difficult to decipher and lowering treatment quality.

Using Deep Learning to Improve Low Quality Images

There are two methods to use low dose images without compromising the quality of the images. The first one is to improve a single image using deep leaning state of the art methods.

The low-dose images have a characteristic grainy background and blurriness. State-of-the-art deep learning methods use convolutional neural networks to learn the transformation from the standard images to the low-quality images and vice versa. This is done by training the system with large data sets containing both types of images. Using this transformation can create a high-quality image from the low-dose image, improving the image quality significantly. This results in comparable image quality with a radiation reduction of up to 75%.

The second method is using the data that we have from other images. In many cases the fluoroscopy images are taken in series – this way we can use data from previous images to improve current images. Here deep learning can be used to sharpen and remove the noise artifacts from the images.

C Arm X-Ray Machine Scanner

Lower Radiation in Your Device

RSIP Vision has extensive experience in implementing image enhancement algorithms in medical devices. Our multidisciplinary team of engineers and clinicians can quickly and efficiently execute a module which will improve image quality despite low dosage imaging, speeding time to market for your device. Contact us today!

Share

Share on linkedin
Share on twitter
Share on facebook

Main Field

Surgical Robotics

In the recent years, robotic modules with their associated algorithmic software emerged in the surgery rooms. Here, some of their applications will be reviewed. They are used for orthopedic, brain and cardiac surgeries.

View Surgical Robotics

Categories

  • RSIP Vision Learns, Surgical Robotics

Related Content

Success Rating and Dynamic Feedback in RAS

Success Rating in Robotic Assisted Surgeries

RAS Navigation

Tissue Sparing in Robotic Assisted Orthopedic Surgeries

Visible spectrum color

Hyperspectral Imaging for Robotic Assisted Surgery

RAS Navigation

AI for Navigation in Robotic Assisted Surgeries

Surgery performed by robotic arms

Robots in Medical Applications

Flexible medical instruments for endoscopic surgery

Instrument tracking for robotic aided surgery

Success Rating and Dynamic Feedback in RAS

Success Rating in Robotic Assisted Surgeries

RAS Navigation

Tissue Sparing in Robotic Assisted Orthopedic Surgeries

Visible spectrum color

Hyperspectral Imaging for Robotic Assisted Surgery

RAS Navigation

AI for Navigation in Robotic Assisted Surgeries

Surgery performed by robotic arms

Robots in Medical Applications

Flexible medical instruments for endoscopic surgery

Instrument tracking for robotic aided surgery

Show all

RSIP Vision

Field-tested software solutions and custom R&D, to power your next medical products with innovative AI and image analysis capabilities.

Read more about us

Get in touch

Please fill the following form and our experts will be happy to reply to you soon

Recent News

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

PR – Non-Invasive Planning of Coronary Intervention

PR – Bladder Panorama Generator and Sparse Reconstruction Tool

PR – Registration Module for Orthopedic Surgery

All news
Upcoming Events
Stay informed for our next events
Subscribe to Our Magazines

Subscribe now and receive the Computer Vision News Magazine every month to your mailbox

 
Subscribe for free
Follow us
Linkedin Twitter Facebook Youtube

contact@rsipvision.com

Terms of Use

Privacy Policy

© All rights reserved to RSIP Vision 2021

Created by Shmulik

  • Our Work
    • title-1
      • Ophthalmology
      • Uncategorized
      • Ophthalmology
      • Pulmonology
      • Cardiology
      • Orthopedics
    • Title-2
      • Orthopedics
  • Success Stories
  • Insights
  • The company