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."

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