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
GLOBETECH PUBLISHING LLC

Download Mobile App




AI Algorithm Identifies MRI Scanner Malfunctions

By MedImaging International staff writers
Posted on 20 Dec 2022
Image: An AI algorithm can ensure timely automatic detection of faults in the MRI scanner (Photo courtesy of Pexels)
Image: An AI algorithm can ensure timely automatic detection of faults in the MRI scanner (Photo courtesy of Pexels)

Magnetic resonance imaging is a high precision, 3D imaging diagnostics of internal organs without harmful ionizing radiation. Radiologists use artificial intelligence (AI) algorithms in their routine practice. However, imaging diagnostics are developing and becoming more efficient. Now, researchers have now developed a new AI algorithm for the quality control of MRI scanners that will provide timely detection of the scanner malfunctions automatically.

To automate the identification of machine service problems, scientists at the Moscow State University (Moscow, Russia) have developed a method for monitoring MRI, using clinical images and trained AI-based solutions. This will allow faster identification of malfunctioning MRI scanners, and reduce downtime and repair costs. The AI algorithm still requires some extra training and testing, but the results indicate the feasibility of its implementation.

The new machine learning-based quality control method for MRI scanners can help avoid breakdowns and reduce downtime. Setting up AI requires sampling of MRI images from various scanners with accurate quality control of the results. The AI algorithm has been trained to distinguish between images from working and faulty devices. An experimental evaluation based on the data showed the advantage of the developed method over analogues in terms of accuracy.

The new technology offers a number of advantages. Firstly, it saves the time of radiographers who need to manually assess the quality of the MRI scanner. This procedure requires special training and time. Quality control of MRI equipment needs to be carried out daily or at least weekly. With the new AI technology, automatic image quality control can be performed 24/7. The analysis of one 3D-image takes less than a second, after which the system can immediately flag any “suspicious” images. The radiology staff can then analyze the information received and, if necessary, call a technical team.

Related Links:
Moscow State University

Post-Processing Imaging System
DynaCAD Prostate
Computed Tomography System
Aquilion ONE / INSIGHT Edition
Biopsy Software
Affirm® Contrast
New
Digital Color Doppler Ultrasound System
MS22Plus

Channels

Nuclear Medicine

view channel
Image: Perovskite crystal boules are grown in carefully controlled conditions from the melt (Photo courtesy of Mercouri Kanatzidis/Northwestern University)

New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis

Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more

General/Advanced Imaging

view channel
Image: The Angio-CT solution integrates the latest advances in interventional imaging (Photo courtesy of Canon Medical)

Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities

Maintaining accuracy and safety in interventional radiology is a constant challenge, especially as complex procedures require both high precision and efficiency. Traditional setups often involve multiple... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.