The only provider of ultrasound 3D image enhancement in real-time brings multidimensional power to RSNA
BOSTON, Mass. and STOCKHOLM, Sweden – November 19, 2012 – Since 1983, ContextVision has pushed its image enhancement technology forward, delivering unparalleled diagnostic image quality to clinicians. At RSNA this year, ContextVision will demonstrate its cutting-edge software within ultrasound, X-ray, magnetic resonance imaging, mammography and more.
The groundbreaking GOP® methodology detects structures by examining the significance of each pixel in relation to its wider context. Once the structure is identified and analyzed, noise can be suppressed and the true structure, however weak, can be emphasized and seen more clearly. This versatile technology combined with image processing expertise allows ContextVision to continuously improve the quality of medical images around the world.
At RSNA, ContextVision will demonstrate its cutting-edge software within a range of modalities, including:
- GOPiCE® US (3D/4D) – The industry’s first ultrasound real-time three-dimensional filtering product, it enhances 3D ultrasound volumes by filtering images to remove speckle, noise and other artifacts, while simultaneously sharpening diagnostically significant structures. Volumetric acquisitions empowered by multi-dimensional image enhancement leads to faster and more accurate diagnosis.
- GOPView XR2Plus – automatically identifies and accounts for many exposure deficiencies, eliminating the need for time-consuming and costly retakes in digital radiology. With efficient black-point compensation and automatic adaptation to different collimators, GOPView XR2Plus increases the overall performance, providing world-class clarity and confidence for clinical professionals.
- Three New add-on modules for GOPView XR2Plus will be shown including Intelligent Exposure Index (EI) based on the relevant region of the image i.e. true tissue. ContextVision will also show its Defect Correct Library (DCL) as well as Doctors Interface (DI) for end user image control.
- GOPView® iRVUltra – ContextVision’s second generation of image enhancement technology for interventional radiology, GOPView iRVUltra, has unprecedented success in reducing noise while enhancing fine structures and edges. This ultimately allows for significantly improved image quality while maintaining patient dose, or, alternatively, preserved image quality using a lower patient dose. Initial studies have shown that image quality can be maintained while reducing dose levels by up to 50%.
“Our ultra-fast algorithms for 3D/4D image enhancement allow doctors improved diagnostic value in 2D planes as well as in 3D renderings,” said Anita Tollstadius, ContextVision CEO. “These additional dimensions are essential to ultrasound examinations because they decrease the risk of not having acquired the entire anatomy, as could be the case with a 2D examination. With 3D, the whole anatomy can be acquired with one single scan.”
RSNA, the 98th Scientific Assembly and Annual Meeting, will be held November 25th-30th at McCormick Place in Chicago, Illinois. To learn more about ContextVision’s collection of image enhancement software or to see a product demonstration, visit booth #8927 in North Building, Hall B at RSNA. For more information about ContextVision’s full suite of imaging software, please visit www.contextvision.com.
About ContextVision
ContextVision is a leading provider of image enhancement software to the global medical imaging industry since 1983, with the versatile GOP® technology at its core. We play a key role in helping manufacturers by offering clinicians unparalleled diagnostic image quality, ultimately providing patients with better care. ContextVision continues to offer the latest software and expertise within ultrasound, x-ray, magnetic resonance imaging, mammography, interventional radiology and computed tomography. Our groundbreaking technology and lengthy expertise have granted us a pioneer position within 2D/3D/4D image enhancement across multiple modalities. For more information, please visit www.contextvision.com.