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
GLOBETECH PUBLISHING LLC

Download Mobile App




AI Algorithm Identifies MRI Scanner Malfunctions

By MedImaging International staff writers
Posted on 20 Dec 2022
Print article
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

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Fetal Monitor
Avante Compact II
New
Drape Barrier
Double Pivot Swing Arm Drape
X-Ray Detector
FDR-D-EVO III

Print article
Radcal

Channels

Ultrasound

view channel
Image: The device creates microbubbles that temporarily disrupt the BBB, permitting the entry of immunotherapy into the brain (Photo courtesy of Northwestern)

Ultrasound Technology Breaks Blood-Brain Barrier for Glioblastoma Treatment

Despite extensive molecular studies, the outlook for patients diagnosed with the aggressive brain cancer known as glioblastoma (GBM) continues to be poor. This is partly due to the blood-brain barrier... Read more

Nuclear Medicine

view channel
Image: 68Ga-NC-BCH whole-body PET imaging rapidly targets an important gastrointestinal cancer biomarker in lesions in GI cancer patients (Photo courtesy of Qi, Guo, et al.; doi.org/10.2967/jnumed.123.267110)

New PET Radiotracer Enables Same-Day Imaging of Key Gastrointestinal Cancer Biomarker

Gastrointestinal cancers rank among the most prevalent cancers worldwide, contributing to over a quarter of all cancer cases and over one-third of cancer-related deaths annually. The initial symptoms of... Read more

General/Advanced Imaging

view channel
Image: The denoised image is less noisy and the defect is more detectable and visually clearer with DEMIST (Photo courtesy of Abhinav Jha/WUSTL)

Artificial Intelligence Tool Enhances Usability of Medical Images

Doctors use myocardial perfusion imaging (MPI) single-photon emission computed tomography (SPECT) images to evaluate blood flow to the heart muscle. To capture these images, patients are administered a... 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 © 2000-2024 Globetech Media. All rights reserved.