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




Events

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.

New Image Reconstruction Technique Combines Data Science with ML for Faster MRIs

By MedImaging International staff writers
Posted on 15 Sep 2022
Print article
Image: New research closes the gap between traditional and deep learning methods (Photo courtesy of University of Minnesota)
Image: New research closes the gap between traditional and deep learning methods (Photo courtesy of University of Minnesota)

For the last decade or so, scientists have been making Magnetic Resonance Imaging (MRI) faster using a technique called compressed sensing, which uses the idea that images can be compressed into smaller sizes, akin to zipping a .jpeg on a computer. More recently, researchers have been looking into using deep learning, a type of machine learning, to speed up MRI image reconstruction. Instead of capturing every frequency during the MRI procedure, this process skips over frequencies and uses a trained machine learning algorithm to predict the results and fill in those gaps.

Many studies have shown deep learning to be better than traditional compressed sensing by a large margin. However, there are some concerns with using deep learning - for example, having insufficient training data could create a bias in the algorithm that might cause it to misinterpret the MRI results. Now, using a combination of modern data science tools and machine learning ideas, researchers have found a way to fine-tune the traditional compressing method to make it nearly as high-quality as deep learning. This finding by scientists and engineers at the University of Minnesota (Minneapolis, MN, USA) provides a new research direction for the field of MRI reconstruction. It can improve the performance of traditional MRI reconstruction techniques, allowing for faster MRIs to improve healthcare.

“MRIs take a long time because you’re acquiring the data in a sequential manner. You have to fill up the frequency space of your image in a successive manner,” explained Mehmet Akcakaya, the Jim and Sara Anderson Associate Professor in the University of Minnesota Department of Electrical and Computer Engineering. “We want to make MRIs faster so that patients are there for shorter times and so that we can increase the efficiency in the healthcare system.”

“What we’re saying is that there’s a lot of hype surrounding deep learning in MRIs, but maybe that gap between new and traditional methods isn’t as big as previously reported,” Akcakaya said. “We found that if you tune the classical methods, they can perform very well. So, maybe we should go back and look at the classical methods and see if we can get better results. There is a lot of great research surrounding deep learning as well, but we’re trying to look at both sides of the picture to see where we can find the best performance, theoretical guarantees, and stability.”

Related Links:
University of Minnesota 


Print article
CIRS -  MIRION
Sun Nuclear -    Mirion

Channels

Radiography

view channel
Image: The FDA has cleared the CSA system with Dynamic Digital Radiography (Photo courtesy of 20/20 Imaging)

Advanced Digital X-Ray System Allows Clinicians to Capture and Visualize Anatomy in Motion

Dynamic Digital Radiography (DDR) is a revolutionary X-ray technology that enables the visualization of anatomy in motion, so clinicians can interpret the dynamic interaction of anatomical structures,... Read more

Ultrasound

view channel
Image: EG-740UT ultrasound endoscope combined with ARIETTA 850 provides outstanding ultrasound image quality (Photo courtesy of FUJIFILM)

Next-Gen Ultrasound Endoscope Enables Complex Diagnostic and Therapeutic Procedures

Endoscopic ultrasound is a specialist procedure performed utilizing an endoscope equipped with an ultrasonic transducer which emits and receives ultrasonic waves within the gastrointestinal tract, such... Read more

General/Advanced Imaging

view channel
Image: New guidance standardizes care for patients presenting with acute chest pain in the ED (Photo courtesy of Pexels)

New Guidance Recommends Coronary CTA as First-Line Test when Treating Acute Chest Pain in ED

Diagnosis and triage of emergency department (ED) patients with suspected acute coronary syndrome (ACS) consume a large and increasing amount of healthcare resources. ED overcrowding is associated with... Read more

Imaging IT

view channel
Illustration

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
Copyright © 2000-2022 Globetech Media. All rights reserved.