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 in a selfie-inspired process that, he says, results in higher resolution, better contrast, lower noise, fewer artifacts and more tissue-specific response.
The prestigious school is evidently sold, as it awarded the student, Jen-Tang Lu, its top prize for innovation—$15,000—at an annual innovation event.
Princeton’s office of engineering communications has the story:
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