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ContextVision Announces New Asian Partner for Interventional Radiology Image Enhancement Tool

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GOPView iRVPlus delivers real-time, low dose image enhancement

BOSTON, Mass. and STOCKHOLM, Sweden – June 23, 2008 – ContextVision, software imaging partner for the most recognized medical imaging manufacturers worldwide, today announced a new contract for the implementation of the company’s revolutionary interventional radiology imaging software, GOPView® iRVPlus. The global manufacturer of interventional radiology equipment expects its stationary interventional radiology machines with the image enhancement software to be available on the market later this year. “This contract reinforces the quality and capabilities of GOPView iRVPlus,” said Donald Barry, Senior Product Manager, Interventional Radiology. “Advanced image enhancement capabilities and dose reduction remain top priorities for us as we see a distinct trend in the interventional radiology market: manufacturers implementing image enhancement software to maximize image quality and reduce dose where possible.” About GOPView iRVPlus Released at RSNA 2008, GOPView iRV Plus enables image enhancement at a level never before achieved in interventional radiology, enabling a dose reduction of more than one third, which minimizes both patient and medical staff exposure during a procedure, without any compromise in image quality or diagnostic value. GOPView iRVPlus relies on a continuous adaptive filtration method to analyze every pixel in an image, giving every structure in the image the same level of analysis. This rotationally invariant process eliminates the risk of critical information being overlooked during a procedure, leading to higher clinical value. Like all ContextVision products, GOPView iRVPlus uses a proprietary algorithm, GOP, which simultaneously enhances all structures and reduces noise. The image enhancement ensures that more details can be seen while introducing less blur. Additionally, an extensive and growing library of adaptive filters fine-tunes images.

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