ContextVision Unveils New Ultrasound Image Enhancement Family for Technically Difficult Patients

US PLUSView™ Modular Family ideal for obese patients, offering improved image quality, organ boundaries and texture

BOSTON, Mass. and STOCKHOLM, Sweden – April 11, 2011 – At the American Institute of Ultrasound in Medicine (AIUM) Annual Convention this week, ContextVision, the software imaging partner for the most recognized medical imaging manufacturers worldwide, will unveil its cutting-edge ultrasound image enhancement family, US PLUSView™. This modular family enables equipment manufacturers to deliver a full range of ultrasound image enhancement capabilities to their customers, including deeper penetration and improved speckle reduction features for technically difficult patients.

Technically difficult patients account for a large segment of all abdominal scans in the United States. While relatively low energy acoustic waves used in Ultrasound make for a relatively safe diagnostic imaging environment, they lead to difficulties penetrating patients with larger BMI (> 30). ContextVision designed the US PLUSView family to extend ultrasound imaging capabilities for these patients.

The US PLUSView family includes a modular series of products that offer a seamless upgrade path to ensure leading-edge diagnostic capabilities for end users. The US PLUSView products enable directed, focused image enhancement of selected areas, depths and intensities without sacrificing overall image quality:

• US PLUSView gives users broader image enhancement capabilities than previously available, with increased speckle reduction and greater edge definition.
• US PLUSViewADV (advanced), an adaptive temporal filter with advanced motion compensation, enables stronger speckle reduction and greater margin continuity without temporal blurring.
• US PLUSViewPRE (premium), a directed, focused enhancement (DFE) module, allows users to highlight specific anatomical features for additional visualization without sacrificing overall image quality.

“This new line of ultrasound imaging enhancement products gives manufacturers the flexibility to select the degree of image enhancement that they need,” said Donald Barry PhD, manager of ContextVision’s ultrasound product line. “The combination of ContextVision’s proven GOP technology with the cutting-edge DFE capabilities sets a new standard for ultrasound image enhancement. Clinicians can now gain access to subtle pathologies in difficult patients previously not accessible via ultrasound imaging.”

Available this week, the software easily integrates into newly-manufactured ultrasound systems and runs on a standard CPU. An interactive tuning tool enables OEMs to optimize images for their customers’ specific preferences. Download a product sheet here.

AIUM, the only medical imaging conference in the U.S. dedicated to all disciplines of medical ultrasound, will be held April 14-17 at the Marriott Marquis Hotel in New York City. To learn more about the US PLUSView products or to see a product demonstration, visit booth 414 at AIUM.

About ContextVision
ContextVision is the leading independent developer in medical imaging enhancement, analysis and processing technologies, serving leading OEMs and distributors for over 25 years. ContextVision’s embedded imaging software is relied upon daily by thousands of users around the globe. ContextVision´s patented GOP algorithm allows unprecedented image quality to be achieved by simultaneously enhancing fine structure while reducing noise and speckle across MRI, X-Ray, Ultrasound, CT, and IR. ContextVision’s technology enables the company’s customers to provide superior digital imaging quality to hospitals and clinicians. Such solutions promise more rapid and accurate diagnoses, reduced operator eye fatigue, and ultimately, a greater return-on-investment for medical imaging users. For more information, please visit www.contextvision.com.

Contact:

Perrin McCormick
HB | Hart-Boillot
Phone: 781-818-4198
E-mail:

Peter Kövamees
ContextVision AB
Phone: +46 (8) 750-3557
E-mail: