We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App


ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

AI Tool Enables Total Shoulder Arthroplasty (TSA) Planning Through MRI Scan

By MedImaging International staff writers
Posted on 04 Mar 2022
Print article
Image: Total Shoulder Arthroplasty (TSA) planning tool (Photo courtesy of RSIP Vision Ltd.)
Image: Total Shoulder Arthroplasty (TSA) planning tool (Photo courtesy of RSIP Vision Ltd.)

A new tool for Total Shoulder Arthroplasty (TSA) planning performs segmentation of the shoulder bones from shoulder MRI scan, which is usually performed in shoulder healthcare. The segmentation output undergoes super-resolution enhancement to overcome inherent MRI resolution limitations. The end-result is a high-quality, 3D model of the shoulder bones, which allows exceptional planning for TSA, without the need for a CT scan for planning.

This new vendor-neutral technology solution from RSIP Vision Ltd. (Jerusalem, Israel) is available to third-party MRI manufacturers and viewer solutions, allowing an accurate and radiation-free method for TSA planning. Shoulder injuries often require a diagnostic MRI scan, mainly to rule out soft-tissue damage. When approaching TSA, current practice requires a CT scan for procedural planning as CT resolution is superior to that of MRI. However, an additional CT scan involves exposing the patient to harmful radiation, as well as additional healthcare expenses.

RSIP Vision’s new tool utilizes the shoulder MRI scan, without compromising on resolution quality. It automatically segments the humerus and scapula from the scan. The segmentation output goes through another neural network, trained to upgrade segmentation resolution, thus producing a super-resolution model despite the original scan limitations. This output is as-good as CT-based models, without the need for an additional scan, and can be used for procedural planning.

“Shoulder MRI scans are common in shoulder pain management healthcare, usually for soft tissue analysis,” said Ron Soferman, CEO at RSIP Vision. “Deep learning (DL) algorithms can be developed for accurate segmentation of the shoulder bones. Neural networks are trained to process the resulting segmentation into a CT-grade segmentation, improving the original MRI resolution. Further down the line this tool can be altered to segment soft tissue, as well as other anatomies. This tool improves shoulder healthcare as it removes the need for a CT scan and its accompanying radiation and cost.”

“As a physician, you want to reduce radiation exposure to your patient,” said Dr. Shai Factor, orthopedic surgeon at Tel-Aviv Medical Center. “This new tool by RSIP Vision will utilize existing shoulder MRI scans, which we use routinely to demonstrate associated soft tissue pathologies, and will offer a radiation-free alternative to patients prior to shoulder arthroplasty, without compromising the 3D model’s quality.”

Related Links:
RSIP Vision Ltd. 

Print article
Sun Nuclear



view channel
Image: CE-marked and FDA-cleared ExacTrac Dynamic enables the delivery of precision radiotherapy (Photo courtesy of Brainlab)

Next-Gen Technology Enables Precision Radiotherapy with “On-The-Fly” X-Ray Confirmation

Deep Inspiration Breath Hold (DIBH) is a well-established technique and standard of care in treating breast cancer with radiation therapy. When a patient takes a deep breath, the distance between the heart... Read more


view channel
Image: fMRI can be used as non-invasive method for predicting complications in chronic liver disease (Photo courtesy of Pexels)

Functional MRI (fMRI) Offers Non-Invasive Method for Risk Assessment in Liver Disease

In a recent study, a team of scientists has shown that functional magnetic resonance imaging (fMRI) can be used as a non-invasive method for predicting complications in chronic liver disease.... Read more


view channel
Image: Resona I9 ultrasound system features innovative design elements (Photo courtesy of Mindray)

Mindray’s Latest Resona I9 Ultrasound System Provides Innovation-Driven Experience

Mindray (Shenzhen, China) has launched a new ultrasound system which provides an entirely new experience, driven by innovation to address today’s clinical challenges. Mindray’s latest Resona I9 ultrasound... Read more

Imaging IT

view channel

Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology

The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more

Industry News

view channel
Image: Global diagnostic imaging market is driven by technological advancements (Photo courtesy of Pexels)

Global Diagnostic Imaging Market to Surpass USD 33 Billion by 2026

The global diagnostic imaging market is one of the most critical segments of the healthcare sector. Medical imaging helps in early detection and diagnosis of diseases at a stage when they can be easily... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.