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.

HospiMedica

Download Mobile App
Recent News Medica 2024 AI Critical Care Surgical Techniques Patient Care Health IT Point of Care Business Focus

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

By HospiMedica International staff writers
Posted on 04 Mar 2022

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.


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.)

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. 


Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
New
Mattress Replacement System
Carilex DualPlus
New
Standing Sling
Sara Flex

Latest Surgical Techniques News

Endoscopic Surgical System Enables Remote Robot-Assisted Laparoscopic Hysterectomy

Novel Neural Interface to Help Diagnose and Treat Neurological Disorders with Minimal Surgical Risks

New Lens System for Endoscopes Offers Physicians Unprecedented View of Inside the Body