How to save money on a pre-owned GE Vivid ultrasound machine

Since it was first launched in 2000, the GE Vivid line of ultrasound machines has been one of the best-selling and most acclaimed in the industry. Of course GE has a long history of producing quality medical equipment, so that means that used and pre-owned GE ultrasound machines are always in demand because of their reliability and performance. GE took the Vivid line to the next level in 2007 when it introduced the GE Vivid e and GE Vivid 7 Dimension. Since those models have been on the market for a little while now, it’s possible to enjoy significant savings on preowned GE Vivid ultrasound systems. And because pre-owned ultrasound systems are refurbished to meet or exceed the original manufacturer’s specifications, you don’t need to worry about them performing any differently than a new (and more expensive) ultrasound machine.

The GE Vivid e and Vivid 7 both offer some incredible new technology, including updated 4D visualization tools and improved network communication capabilities. And they do all that in a package that weighs about 10 pounds, not the hundreds of pounds that a console system can weigh.

“The vascular performance is impressive, and every bit as good as one of our console systems,” said Darena Cummings, Sonographer with Radiology Regional Center, Cape Coral, FL, in a GE news release posted on “With its compound imaging and Coded Harmonics, the vascular images are easier to obtain. In color flow, the vessels jump out at you, with very little work.”

Even if you buy a used GE Vivid ultrasound machine that is a couple of years old, you are still getting cutting-edge technology at an incredible price.

“The understanding of depth in a live 3D-image, visualized on a 2D-screen, is essential - but challenging,” added Dr. Heinz Tschernich, Chair, Department of Cardiothoracic and Vascular Anesthesiology, University of Vienna (Austria). “With the two new features, ‘Depth Color Render and Stereo Vision,’ General Electric provides an excellent solution to overcome this limitation. Both new features support an intuitive impression of morphologic anatomic structures in a 3D-image and therefore simplify interpretation and 3D-navigation impressively.”

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