Current ultrasound imaging depends strongly on the skills of the technician, while the images in general have problems with resolution, contrast, and noise. It is difficult to adjust all the parameters that make a good image.
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A biomedical startup coming out of Princeton University, Ultrasonyx overcomes these problems via advanced imaging processing techniques and a proprietary database, revolutionizing medical ultrasound for better treatment decisions. Ultrasonyx software requires no change in user operation and can be utilized on any image from any machine. All in real time.
Producing better-quality ultrasound images could be as easy as taking a selfie. That was the pitch that Princeton University graduate student Jen-Tang Lu made to judges at the Keller Center's Innovation Forum Feb. 24...
Princeton graduate student Jen-Tang Lu developed a technology that works with all ultrasound devices, combining physics, biology, anatomy and other parameters to create a higher-resolution image with better contrast, less noise and fewer artifacts...
A graduate engineering student at Princeton has come up with a way to overcome variability in the skills of ultrasound technologists. His method ensures better imaging quality every time by combining physics, biology and algorithms...