Mercury introduces new applications for Visage clinical imaging
solutions
19 March 2008
Mercury Computer Systems, Inc. (NASDAQ: MRCY) introduced the enhanced
Visage product family with integrated clinical applications at the
European Congress of Radiology (ECR) in Vienna last week.
Mercury's advanced Visage CS thin client–server solution now
comprises integrated 3D functionalities including a cardiac analysis
option, featuring quantitative and visual analysis of cardiac dynamics
using 4D multi-slice CT data to assess functional parameters, as well as
coronary artery analysis.
All functional key parameters can be assessed directly within the
PACS workflow, thus optimizing the efficiency and performance of the
cardiac analysis.
The new release of Visage PACS, Mercury's web-based, scalable,
enterprise-grade image management system, will include new features that
enable flexible arrangement of multiple viewers, new options for
side-by-side comparison, as well as hanging protocols.
Mercury also introduced 100X accelerated Spiral CT reconstruction
with the Mercury Cell Accelerator Board (CAB), its latest Cell Broadband
Engine (BE) processor-based product offering. "In cooperation with
Mercury, we are designing and implementing optimized algorithms for the
2D and 3D image reconstruction with real-time performance on the Cell BE
platform, thus enhancing image quality, while keeping the X-ray exposure
of the patient as low as possible," explained Professor Dr Marc
Kachelriess, expert for medical imaging at the Institute of Medical
Physics, Erlangen, Germany.
"Clinical applications such as cardiac CT and CT/PET require more
powerful image management and visualization systems," said Keith Dreyer,
MD, PhD, and Vice-Chairman of Radiology — Informatics at Massachusetts
General Hospital and Assistant Professor of Radiology at the Harvard
Medical School. "Mercury is developing leading-edge medical imaging
solutions that are capable of processing and managing the
ever-increasing amounts of 2D, 3D, and even 4D data, thus optimizing
image quality and the diagnostic workflow."