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




Full-Body MRI Scanning Significantly Improved by New Algorithm

By MedImaging International staff writers
Posted on 30 May 2011
A new algorithm has been devised that can dramatically improve how radiologists capture and interpret full-body magnetic resonance imaging (MRI) scan, especially in the abdominal region.

Motion artifacts in MRI scans, such as patient movement, often appear as ghosting artifacts, which may obscure clinical information according to Dr. Candice Bookwalter, presenting author for the study. "Almost every acquisition during an MR abdominal exam requires a breath hold to limit motion. For example, a routine liver exam includes at least nine breath holds. Even with fast imaging techniques, these breath holds are often long and difficult for patients, and failed breath holds are almost always identified only after image acquisition. This is particularly problematic in timed postcontrast imaging," she stated.

Dr. Brookwalter and her team developed the motion artifact removal by retrospective resolution reductions (MARs) algorithm to identify the transition between a breath hold and free breathing to allow for better retrospective reviews of the image and to reduce the need for additional imaging. Dr. Bookwalter said, "MARs detected and removed motion corrupted data automatically in our asymptomatic volunteers and patients, which improved the overall image quality."

In the study performed at the University Hospital at Case Medical Center, Case Western Reserve University (Cleveland, OH, USA), Dr. Bookwalter and her colleagues successfully showed how the MARs technique allows radiologists and technicians to create clinically efffective images, even in the presence of motion. She is confident that this algorithm will be useful tool for image interpretation. She noted, "The MARs algorithm requires very little alteration of the clinical MR protocol. We envision the final application of this technique to be completely automatic and likely applied by the clinical technologist prior to presentation to the radiologist."

Dr. Bookwalter presented her findings on this study on May 5, 2011, at the 2011 American Roentgen Ray Society (ARRS) annual meeting in Chicago (IL, USA).

Related Links:

Case Western Reserve University



Radiology Software
DxWorks
Ultrasound Imaging System
P12 Elite
X-ray Diagnostic System
FDX Visionary-A
Ultrasonic Pocket Doppler
SD1

Channels

Nuclear Medicine

view channel
Image: The diagnostic tool could improve diagnosis and treatment decisions for patients with chronic lung infections (Photo courtesy of SNMMI)

Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections

Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... 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.