News | September 29, 2010

Connecticut University Adds New PACS at Diagnostic Imaging Center

September 29, 2010 — Quinnipiac University has selected a new picture archiving and communications system (PACS) for its innovative diagnostic imaging educational center, which provides students in a wide range of imaging-related medical specialties with hands-on experience using a full suite of state-of-the-art technology. The center also provides a focal point for the university’s mummy research project and other innovative nontraditional imaging programs.

Rivaling many university hospital imaging facilities, the Quinnipiac center includes a complete installation of today’s modalities and IT applications and is an integral part of the university’s educational program for imaging technologists (RT), masters RT students and radiologist assistants, as well as for nurses, occupational therapists and other medical professionals who frequently use medical images. It also will provide a unique radiology training opportunity for the university’s school of medicine, scheduled to open in 2012.

Quinnipiac is also renowned for its unique imaging forensics and bioanthropology programs and is in the forefront of a worldwide network involved in the scanning and analysis of Egyptian mummies. It has a growing database of computed tomography (CT) and X-ray images of mummified remains. The new CoActiv Exam-PACS will help the center manage the mummy images gathered from around the world. The PACS also will be used for radiology training.

The CoActiv installation provides the full CoActiv Exam-PACS Suite, including Exam-Server, Exam-Vault, Exam-Sender, Exam-Filer and Exam-3D software (powered by the Biotronics3D visualization engine). The university center will have a 5.5 TB server and be fully licensed for campus-wide enterprise image viewing.

For more information: coactiv.com

Related Content

New U.S. Tariffs on Chinese Goods Include Imaging Equipment
News | Radiology Business | June 15, 2018 | Jeff Zagoudis, Associate Editor
The Office of the U.S. Trade Representative (USTR) released the much-anticipated list of Chinese-manufactured goods...
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...
Overlay Init