ContextVision Showcases New 3-D Image Enhancement Technology at RSNA

CHICAGO, IL, BOSTON, Mass. and STOCKHOLM, Sweden – November 27, 2006 – ContextVision, software imaging partner for the most recognized medical imaging manufacturers worldwide, announced today at RSNA 2006 that it is showcasing its technology breakthrough, 3D-GOP®. The technology will be featured on large-screen video in the ContextVision booth, North Building, Hall B, number 6952.

3D-GOP advances digital image enhancement in a direction that the industry has been seeking for years. 3D-GOP’s sophisticated algorithms promise significant image enhancement improvements, as all clinical structures are extended in three dimensions. The technology uses data from three dimensions in the processing of each voxel, resulting in a truer depiction of the real imaged tissue/structure presented for the clinician.

“3D-GOP software employs advanced new filtering techniques that enable dramatically improved image enhancement results,” said Jan Erik Hedborg, CEO, ContextVision. “The industry has long known that an ideal image enhancement solution would use information from three dimensions. We are proud to display the impressive results of our real 3D enhancements at RSNA.”

The new ContextVision software has been in development for over two years, as a University collaborative research project, funded in part by the Swedish government.

The display at RSNA will feature large-screen demonstrations of 3D-GOP simulations as well as demonstrations of the software’s results with clinical images from MRI and Ultrasound.

“Because structures exist in every dimension, software should be optimized to take that into account,” said Peter Koevamees, Director of Marketing, ContextVision. “The new 3D-GOP technology opens doors to new generations of products in multiple modalities. We expect to launch 3D-GOP late 2007 as a part of ContextVision’s Product Portfolio.”

ContextVision’s proprietary adaptive algorithms are based on its GOP® Technology.
To learn more, visit the ContextVision Web site at