Technology | June 11, 2009

NordicNeuroLab Gets FDA Gives 510(k) Clearance for MR Perfusion Solution

June 11, 2009 - NordicNeuroLab said this week the FDA issued 510(k) approval for nordicICE Perfusion/Dynamic Contrast Enhanced (DCE) Module, software for analysis of MR perfusion and contrast agent permeability.

With this latest clearance, the company completes its offering of high-grade, FDA-cleared analysis and post-processing software for functional MR imaging and confirms its leading position in this growing market.

nordicICE is NordicNeuroLab’s main software framework dedicated to the clinical use of functional MR imaging methodologies such as BOLD, Diffusion/DTI, and Perfusion. BOLD and Diffusion/DTI modules of nordicICE received FDA clearance in November 2009, while nordicICE Perfusion/DCE Module is the latest addition to NordicNeuroLab’s extensive portfolio of FDA approved software solutions for functional imaging. This comprehensive product offering assures that clinical users can easily find an ideal solution from a single vendor to meet their specific needs when it comes to functional imaging.

With nordicICE Perfusion Module, a user can create reportedly high-quality perfusion maps from dynamic contrast enhanced MRI (T1 or T2/T2 weighted) images in seconds. The combination of a user-friendly interface, state-of-the-art methods and fast processing ensures maximum productivity without loss of quality. Furthermore, for the clinical workflow nordicICE Perfusion Module allows for one-button perfusion analysis using pre-defined settings. The nordicICE DCE Module produces quality maps of several contrast agent permeability-related parameters from dynamic contrast enhanced MRI images using state-of-the-art methods. It is based on the same user-friendly interface as the nordicICE Diffusion Module, allowing for easy integration of results of perfusion and diffusion imaging studies.

For more information: www.nordicneurolab.com

Related Content

News | Remote Viewing Systems | June 14, 2018
International Medical Solutions (IMS) recently announced that the American College of Radiology (ACR) added IMS'...
Wake Radiology Launches First Installation of EnvoyAI Platform
News | Artificial Intelligence | June 13, 2018
Artificial intelligence (AI) platform provider EnvoyAI recently completed their first successful customer installation...
How AI and Deep Learning Will Enable Cancer Diagnosis Via Ultrasound

The red outline shows the manually segmented boundary of a carcinoma, while the deep learning-predicted boundaries are shown in blue, green and cyan. Copyright 2018 Kumar et al. under Creative Commons Attribution License.

News | Ultrasound Imaging | June 12, 2018 | Tony Kontzer
June 12, 2018 — Viksit Kumar didn’t know his mother had...
Zebra Medical Vision Unveils AI-Based Chest X-ray Research
News | Artificial Intelligence | June 08, 2018
June 8, 2018 — Zebra Medical Vision unveiled its Textray chest X-ray research, which will form the basis for a future
Konica Minolta Launches AeroRemote Insights for Digital Radiography
Technology | Analytics Software | June 07, 2018
Konica Minolta Healthcare Americas Inc. announced the release of AeroRemote Insights, a cloud-based, business...
Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Sponsored Content | Case Study | Artificial Intelligence | June 05, 2018
The power to predict a cardiac arrest, support a clinical diagnosis or nudge a provider when it is time to issue medi
How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

Feature | Information Technology | June 05, 2018 | By Greg Freiherr
A regional image exchange system is saving lives and reducing radiology costs in Maryland by improving the efficiency
Using Imaging Analytics for Radiology, VCU Health in Richmond, Va., has developed a dashboard to view turnaround time analysis. This functionality allows drill down for each technologist and radiologist and looks at the different steps of the imaging cycle.

Using Imaging Analytics for Radiology, VCU Health in Richmond, Va., has developed a dashboard to view turnaround time analysis. This functionality allows drill down for each technologist and radiologist and looks at the different steps of the imaging cycle.

Sponsored Content | Case Study | Information Technology | June 05, 2018
Sharon Gibbs, director of the radiology department at VCU Health in Richmond, Va., aims to provide quality, timely and...
PACS and the Road to Reconstruction
Feature | PACS | June 05, 2018 | By Dave Whitney and Jef Williams
The PACS — picture archiving and communication systems — have been in existence for more than 45 years. One of the...
Videos | Patient Engagement | June 04, 2018
At SIIM 2018, Alexander J. Towbin, M.D., Radiologist, Department of Radiology and Medical Imaging, Neil D. Johnson...
Overlay Init