News | Magnetic Resonance Imaging (MRI) | May 02, 2017

Quality of MAGiC Brain Scans Non-Inferior to Conventional MRI

Study of multi-contrast MR technique finds synthetically-generated scans are of similar diagnostic quality to conventional scans

Quality of MAGiC Brain Scans Non-Inferior to Conventional MRI

May 2, 2017 — A new study published in the American Journal of Neuroradiology (AJNR) compares the MAGiC (Magnetic Resonance Image Compilation) software to conventional MRI. MAGiC is a customized version of SyntheticMR’s SyMRI IMAGE software marketed by GE Healthcare under a license agreement. Clinicians from six different sites compared the two methods and verified that the image quality of MAGiC is comparable to conventional images. 

The study, conducted by GE Healthcare and published in the American Journal of Neuroradiology (AJNR), comprised a set of 1,526 images that were read by seven neuroradiologists comparing synthetic and conventional MR brain images from 109 subjects with neuroimaging indications. The results revealed that the diagnostic quality of the images generated synthetically were non-inferior to conventional imaging.

MAGiC is the industry’s first multi-contrast MR technique cleared with the U.S. Food and Drug Administration (FDA), according to SyntheticMR. The technique gives clinicians more data than conventional scanning in a substantially shorter time frame. MAGiC gives users the flexibility to adjust the images retrospectively, leading to significant timesaving, fewer rescans and therefore cost savings, which combined, can assist the clinician in making a more decisive diagnosis.

For more information: www.gehealthcare.com

Related Content

Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer
News | Artificial Intelligence | April 18, 2019
University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
Videos | RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displa
NIH Study of Brain Energy Patterns Provides New Insights into Alcohol Effects

NIH scientists present a new method for combining measures of brain activity (left) and glucose consumption (right) to study regional specialization and to better understand the effects of alcohol on the human brain. Image courtesy of Ehsan Shokri-Kojori, Ph.D., of NIAAA.

News | Neuro Imaging | March 22, 2019
March 22, 2019 — Assessing the patterns of energy use and neuronal activity simultaneously in the human brain improve
At #ACC.19, Siemens unveiled a version of its go.Top platform optimized for cardiovascular imaging. The newly packaged scanner can generate the data needed to do CT-based FFR (fractional flow reserve).

At #ACC.19, Siemens unveiled a version of its go.Top platform optimized for cardiovascular imaging. The newly packaged scanner can generate the data needed to do CT-based FFR (fractional flow reserve). Photo by Greg Freiherr

Feature | Cardiac Imaging | March 22, 2019 | By Greg Freiherr
Reflecting a trend toward the increased use of...
Book Chapter Reports on Fonar Upright MRI for Hydrocephalus Imaging

Rotary misalignment of atlas (C1) and axis (C2). Image courtesy of Scott Rosa, DC, BCAO.

News | Magnetic Resonance Imaging (MRI) | March 20, 2019
Fonar Corp. reported publication of a chapter where the physician-author-researchers utilized the Fonar Upright Multi-...
Non-Contrast MRI Effective in Monitoring MS Patients
News | Neuro Imaging | March 18, 2019
Brain magnetic resonance imaging (MRI) without contrast agent is just as effective as the contrast-enhanced approach...