Technology | Advanced Visualization | January 09, 2017

Arterys Cardio DL Cloud MRI Analytics Software Receives FDA Clearance

Zero-footprint deep learning solution provides automated, editable ventricle segmentations for cardiac MRI

Arterys, Cardio DL cloud application, automated ventricle segmentation, MRI, FDA clearance

January 9, 2017 — Arterys has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) to market its Arterys Cardio DL application. Arterys Cardio DL is the first technology to be cleared by the FDA that leverages cloud computing and deep learning in a clinical setting.

Arterys Cardio DL provides automated, editable ventricle segmentations based on conventional cardiac magnetic resonance imaging (MRI) exams that are as accurate as segmentations performed manually by experienced physicians. The U.S. clearance complements the CE Mark received in late December for commercialization of the Arterys Cardio DL product in Europe.

The application is vendor-agnostic and was developed using data from several thousand cardiac cases. The software produces editable automated contours, providing precise and consistent ventricular function in seconds. The trained deep learning algorithm was validated as producing results within an expected error range comparable to that of an experienced clinical annotator. This clearance enables Arterys to make use of its unique clinical annotation platform, which collects ground-truth data every time a user views a study on Arterys.com. In the future, the deep learning model can be optimized as new data is collected from all global users.

Both the FDA clearance and CE Mark expands on the recently 510(k) cleared 4D Flow post-processing software features that provide comprehensive anatomy and blood flow visualization and quantification within and around the heart in a simple manner.

For more information: www.arterys.com

Related Content

RSNA 2017 Celebrates Innovation in Radiology
News | Imaging | January 15, 2018
January 15, 2018 — The Radiological Society of North America’s...
Transpara Deep Learning Software Matches Experienced Radiologists in Mammogram Reading
News | Computer-Aided Detection Software | January 12, 2018
Deep learning and artificial intelligence improves the efficiency and accuracy of reading mammograms, according to...
Smartphone Addiction Creates Imbalance in Brain
News | Mobile Devices | January 11, 2018
Researchers have found an imbalance in the brain chemistry of young people addicted to smartphones and the internet,...
Emergency Radiologists See Inner Toll of Opioid Use Disorders

Rates of Imaging Positivity for IV-SUDs Complications. Image courtesy of Efren J. Flores, M.D.

News | Clinical Study | January 11, 2018
January 11, 2018 – Emergency radiologists are seeing a high prevalence of patients with complications related to opio
CT Shows Enlarged Aortas in Former Pro Football Players

3-D rendering from a cardiac CT dataset demonstrating mild dilation of the ascending aorta.

News | Computed Tomography (CT) | January 11, 2018
Former National Football League (NFL) players are more likely to have enlarged aortas, a condition that may put them at...
Study Finds No Evidence that Gadolinium Causes Neurologic Harm

MR images through, A, C, E, basal ganglia and, B, D, F, posterior fossa at level of dentate nucleus. Images are shown for, A, B, control group patient 4, and the, C, D, first and, E, F, last examinations performed in contrast group patient 13. Regions of interest used in quantification of signal intensity are shown as dashed lines for globus pallidus (green), thalamus (blue), dentate nucleus (yellow), and pons (red).

News | Contrast Media | January 11, 2018
January 11, 2018 — There is no evidence that accumulation in the brain of the element gadolinium speeds cognitive dec
Weight Loss Through Exercise Alone Does Not Protect Knees
News | Orthopedic Imaging | January 11, 2018
January 11, 2018 – Obese people who lose a substantial amount of weight can significantly slow down the degeneration
Neurofeedback Shows Promise in Treating Tinnitus

The standard approach to fMRI neurofeedback. Image courtesy of Matthew Sherwood, Ph.D.

News | Magnetic Resonance Imaging (MRI) | January 11, 2018
January 11, 2018 — Researchers using...
The artificial intelligence (AI) smart algorithm onboard the Infervision stroke product calculates the volume of bleed on the basis of multiple brain CT slices.

The AI smart algorithm onboard the Infervision stroke product calculates the volume of bleed on the basis of multiple brain CT slices. The size of the bleed volume indicates the urgency and type of treatment required.

Feature | Artificial Intelligence | January 10, 2018 | Greg Freiherr
Exhibitors at the 2017 Radiological Society of North American (RSNA) meeting rode the...
Male Triathletes May Be Putting Their Heart Health at Risk
News | Cardiac Imaging | January 09, 2018
Competitive male triathletes face a higher risk of a potentially harmful heart condition called myocardial fibrosis,...
Overlay Init