News | November 15, 2012

PACS and Mammography Vendors Showcase Matrox Xenia Series at RSNA

Matrox Xenia Series display controller boards  RSNA 2012

November 15, 2012 — Matrox Xenia Series display controller boards will power five separate solutions at the 2012 annual meeting of the Radiological Society of North America (RSNA). Designed for medical imaging professionals, Xenia Series has applications in computed radiography (CR), digital radiography (DR) and picture archive and communications system (PACS) diagnostic workstations and will be demonstrated at various Matrox partners’ exhibits.

Xenia boards feature native PCIe x16 single-slot boards with up to 1 GB of on-board RAM. They support 8-, 10-and 13-bit independent GAMMA LUTs for precise calibration of up to three high-resolution displays comprising a medical imaging workstation.

Vendors displaying the technology include Ampronix, Carestream, NDS Surgical Imaging, Telemis, USEI and Qubyx.

For more information: www.matrox.com/graphics/rsna2012

Related Content

Oxipit Introduces Multilingual Support for ChestEye AI Imaging Suite
News | Artificial Intelligence | April 16, 2019
The CE-certified ChestEye artificial intelligence (AI) imaging suite by Oxipit is now available in seven European...
iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019
iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens will have expanded...
Radiology Publishes Roadmap for AI in Medical Imaging
News | Artificial Intelligence | April 16, 2019
In August 2018, a workshop was held at the National Institutes of Health (NIH) in Bethesda, Md., to explore the future...
Cambridge University Hospitals NHS Foundation Trust Implements Change Healthcare Enterprise Imaging
News | Enterprise Imaging | April 15, 2019
Change Healthcare successfully implemented its Radiology PACS (picture archiving and communication system), Image...
Sponsored Content | Videos | Information Technology | April 15, 2019
Vital Images has developed a strategy that allows its customers to capture revenues that are otherwise missed while b
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
At RSNA 2018, Stratasys showed how 3-D printed models can help plan surgeries and assist in making complex diagnoses.

At RSNA 2018, Stratasys showed how 3-D printed models can help plan surgeries and assist in making complex diagnoses.

Feature | Enterprise Imaging | April 11, 2019 | By Jeff Zagoudis
The central premise behind en...