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 hp
Sign In
Advertise with Us

Download Mobile App




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

By MedImaging International staff writers
Posted on 04 Mar 2022
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. 

Ultrasound-Guided Biopsy & Visualization Tools
Endoscopic Ultrasound (EUS) Guided Devices
Digital Radiographic System
OMNERA 300M
Post-Processing Imaging System
DynaCAD Prostate
Silver Member
X-Ray QA Device
Accu-Gold+ Touch Pro

Channels

Imaging IT

view channel
Image: QT Imaging’s latest breast imaging software adds enhanced reflection images by combining speed-of-sound and reflection data (photo courtesy of QT Imaging)

Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases

Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.