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U-Systems Reverse Curve Technology Improves Comfort and Imaging Performance of Automated 3D Breast Ultrasound Exams

November 29th, 2011 Wouter Stomp Ob/Gyn, Radiology, Surgery

At the ongoing RSNA 2011, U-Systems from Sunnyvale, California, is showing off its new transducer technology designed for the company’s somo•v automated breast ultrasound system.

The Reverse Curve technology conforms to the anatomic shape of women’s breasts for improved comfort and imaging performance during an automated 3D ultrasound exam.

From the press release:

The Reverse Curve Technology enables convergent scan line geometry, which allows sound waves to penetrate the skin perpendicularly, minimizing beam refraction, improving penetration and sharpening focus at depth. Additionally, the Reverse Curve Technology creates uniform compression thickness across the entire breast. Greater image overlap ensures entire field-of-view imaging, increasing confidence of viewing entire breast and minimizing refraction artifacts at tissue interface.

The highlighted Reverse Curve Technology also incorporates the Soft Touch Floating Compression Membrane. Designed specifically for use with the somo•v ABUS System, the Soft Touch Membrane provides the highest exam quality with a greater level of patient comfort. It is designed to instantly adapt to woman’s unique anatomy and evenly distribute pressure across the breast for a quick, comfortable exam. The anatomic shape will also expedite patient positioning for improved workflow.

The U-Systems’ somo•v automated breast ultrasound system and somo•VIEWer 3D workstation were designed specifically for breast cancer screening. Currently they have FDA clearance for diagnostic use as an adjunct to mammography, but U-Systems is in process of seeking FDA approval for screening purposes.

Flashback: Somo*v INSIGHT Class Automated Breast Ultrasound System

Press release: U-Systems to Showcase First-Ever Reverse Curve Soft Touch Transducer Technology at RSNA…

Company homepage: U-Systems…

Wouter Stomp

Wouter Stomp is a radiology resident at the radiology department of Leiden University Medical Center, the Netherlands. He is also a PhD candidate with his research focussing on the role of MRI in early rheumatoid arthritis.

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