It sends sound waves at a particular frequency — sound waves travel through objects, that’s why you can hear from a different room, etc. — and they bounce off things that have particular densities, so you can see what they hit.
Kind of like if you sprayed some liquid with harmless glow-in-the-dark stuff in it, at a doll, in a dark room. You couldn’t see the doll before you started spraying, but you’d see the doll when the liquid hit it, if that makes sense. It’s not exactly the same but
So far the explanations have mentioned the first half of the process: emitting high-frequency (“ultrasound”) waves and using receivers to detect the returning super-acoustic “echo” waves.
The other half of the explanation: how do the sound “echo” signals actually get reconstructed into a picture? The pixels in the picture are each calculated using math, based on the principles of the *Fourier Transform*.
In its most basic form, that math is more familiar to us in audio processing, to convert data of amplitude and phase, into an audio waveform.
In ultrasound imaging, various math techniques are used, to push for image detail, absence of image artifacts, and fast image reconstruction. 3-D image reconstructions need way more computer processing than 2-D images.
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