Technology | October 01, 2008

Advanced Visualization Platform Aimed at Specialists

Vitrea software is Vital Images’ advanced visualization solution that creates 2D, 3D and 4D images of human anatomy from CT and MR image data, allowing physicians to navigate within these images to better understand disease conditions. Vitrea addresses specialists’ needs through various software options for cardiac, colon, vessel probe and other applications. It also utilizes an intuitive clinical workflow and automatic settings to improve speed and simplicity. Other capabilities and partnerships with PACS providers expanded physicians’ access to Vitrea software throughout an enterprise.

Related Content

AIR Recon DL delivers shorter scans and better image quality (Photo: Business Wire)

AIR Recon DL delivers shorter scans and better image quality (Photo: Business Wire).

News | Artificial Intelligence | May 29, 2020
May 29, 2020 — GE Healthcare announced U.S.
The paradox is that COVID-19 has manifested the critical need for exactly what the rules require: advancement of interoperability and digital online access to clinical data and imaging, at scale, for care coordination and infection control.

The paradox is that COVID-19 has manifested the critical need for exactly what the rules require: advancement of interoperability and digital online access to clinical data and imaging, at scale, for care coordination and infection control. Getty Images

Feature | Coronavirus (COVID-19) | May 28, 2020 | By Matthew A. Michela
One year after being proposed, federal rules to advance interoperability in healthcare and create easier access for p
The opportunity to converge the silos of data into a cross-functional analysis can provide immense value during the COVID-19 outbreak and in the future

Getty Images

Feature | Coronavirus (COVID-19) | May 28, 2020 | By Jeff Vachon
In the midst of the coronavirus pandemic normal
In April, the U.S. Food and Drug Administration (FDA) cleared Intelerad’s InteleConnect EV solution for diagnostic image review on a range of mobile devices.
Feature | PACS | May 27, 2020 | By Melinda Taschetta-Millane
Fast, easily accessible patient images are crucial in this day and age, as imaging and medical records take on a new
 Recently the versatility of mixed and augmented reality products has come to the forefront of the news, with an Imperial led project at the Imperial College Healthcare NHS Trust. Doctors have been wearing the Microsoft Hololens headsets whilst working on the front lines of the COVID pandemic, to aid them in their care for their patients. IDTechEx have previously researched this market area in its report “Augmented, Mixed and Virtual Reality 2020-2030: Forecasts, Markets and Technologies”, which predicts th

Doctors wearing the Hololens Device. Source: Imperial.ac.uk

News | Artificial Intelligence | May 22, 2020
May 22, 2020 — Recently the versatility of
Actionable insight “beyond the diagnosis” enables health researchers to better understand COVID-19 progression, intervention effectiveness, and impacts on healthcare system
News | Coronavirus (COVID-19) | May 20, 2020
May 20, 2020 — Change Healthcare introduced ...
Examples of chest CT images of COVID-19 (+) patients and visualization of features correlated to COVID-19 positivity. For each pair of images, the left image is a CT image showing the segmented lung used as input for the CNN (convolutional neural network algorithm) model trained on CT images only, and the right image shows the heatmap of pixels that the CNN model classified as having SARS-CoV-2 infection (red indicates higher probability). (a) A 51-year-old female with fever and history of exposure to SARS-

Figure 1: Examples of chest CT images of COVID-19 (+) patients and visualization of features correlated to COVID-19 positivity. For each pair of images, the left image is a CT image showing the segmented lung used as input for the CNN (convolutional neural network algorithm) model trained on CT images only, and the right image shows the heatmap of pixels that the CNN model classified as having SARS-CoV-2 infection (red indicates higher probability). (a) A 51-year-old female with fever and history of exposure to SARS-CoV-2. The CNN model identified abnormal features in the right lower lobe (white color), whereas the two radiologists labeled this CT as negative. (b) A 52-year-old female who had a history of exposure to SARS-CoV-2 and presented with fever and productive cough. Bilateral peripheral ground-glass opacities (arrows) were labeled by the radiologists, and the CNN model predicted positivity based on features in matching areas. (c) A 72-year-old female with exposure history to the animal market in Wuhan presented with fever and productive cough. The segmented CT image shows ground-glass opacity in the anterior aspect of the right lung (arrow), whereas the CNN model labeled this CT as negative. (d) A 59-year-old female with cough and exposure history. The segmented CT image shows no evidence of pneumonia, and the CNN model also labeled this CT as negative.  

News | Coronavirus (COVID-19) | May 19, 2020
May 19, 2020 — Mount Sinai researchers are the first in the country to use...