Technology | July 22, 2010

MRI Visualization Software Aids in Cancer Treatment

July 22, 2010 – A new magnetic resonance imaging (MRI) advanced image analysis and workflow suite for breast, prostate and other organs was recently released to simplify and streamline case review. The iCAD Inc. product suite brings together the company’s current products SpectraLook and VividLook with the new OmniLook and VersaVue Enterprise, to offer a comprehensive quantitative image analysis suite for cancer detection, staging, localization, treatment planning and serial monitoring.

The MRI product suite features include:
• Integrated 3-D/4-D displays for rapid, efficient interpretation;
• Colorized displays on any underlying MR sequence;
• Fast and efficient creation of customized hanging protocols;
• Instant creation of 2-D, 3-D, maximum intensity projection (MIP) and multiplanar reconstruction (MPR) images from any image in the viewport on the fly; and
• Advanced image manipulation icons in each viewport.
VersaVue Enterprise employs advanced thin client architecture to deliver real-time data access and eliminates the need to purchase redundant hardware. The software features on-demand viewing of studies to speed workflow as well as shared knowledge of study status from a single, shared database.

OmniLook, a complementary software module to iCAD’s existing breast MR (SpectraLook) and prostate MR (VividLook) solutions, applies advanced image analysis using a pharmacokinetic model for other organs of interest, such as liver, kidney and brain, where dynamic contrast imaging may provide additional clinical insight.

The new product suite, including VersaVue Enterprise, will be available in August 2010.

For more information: www.icadmed.com

Related Content

Technology | Focused Ultrasound Therapy | June 19, 2018
EDAP TMS SA has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its Focal One device for...
FDA Clears Bay Labs' EchoMD AutoEF Software for AI Echo Analysis
Technology | Cardiovascular Ultrasound | June 19, 2018
Cardiovascular imaging artificial intelligence (AI) company Bay Labs announced its EchoMD AutoEF software received 510(...
3D Systems Announces On Demand Anatomical Modeling Service
Technology | Medical 3-D Printing | June 18, 2018
3D Systems announced availability of its new On Demand Anatomical Modeling Service. This new service provides a wide...
Elekta Unity High-Field MR-Linac Receives CE Mark
News | Image Guided Radiation Therapy (IGRT) | June 18, 2018
Elekta announced that its Elekta Unity magnetic resonance radiation therapy (MR/RT) system has received CE mark,...
News | Remote Viewing Systems | June 14, 2018
International Medical Solutions (IMS) recently announced that the American College of Radiology (ACR) added IMS'...
Washington University in St. Louis Begins Clinical Treatments With ViewRay MRIdian Linac
News | Image Guided Radiation Therapy (IGRT) | June 14, 2018
June 14, 2018 — The Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine in S
Technology | Orthopedic Imaging | June 13, 2018
EOS imaging announced it has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its hipEOS...
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...
Reduced hippocampal volume on MRI

This figure shows reduced hippocampal volume over the course of 6 years as seen on progressive volumetric analysis and also coronal MRI evaluations (arrows).Progressive volume loss in the mesial temporal lobe on MRI is a characteristic imaging feature of AD. This patient was a case of Alzheimer’s Dementia.

 

News | Neuro Imaging | June 12, 2018
According to a UCLA Medical Center study, a new technology shows the potential to help doctors better determine when...
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...
Overlay Init