LECTURE NOTES IN MEDICAL ENGINEERING

How to See with Sound

A Short Introduction to Ultrasound

Andreas Maier
26 min readMar 23, 2022

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These are the lecture notes for FAU’s YouTube Lecture “Medical Engineering”. This is a full transcript of the lecture video & matching slides. The course is supported by a corresponding Open Access Book, and Open Source Slides (zenodo/github). We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. Try it yourself! If you spot mistakes, please let us know!

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Welcome back to Medical Engineering. So today we want to talk about ultrasound. This is a key imaging technology and it’s very broadly used. It’s also a very safe imaging modality and it can be used to diagnose many many different diseases. We will see that it is also very versatile and we can use it also in acute scenarios because by now the imaging modality has already been transferred into rather small systems and some of them are portable. So looking forward to exploring ultrasound with you guys.

Image from the Medical Engineering lecture under CC BY 4.0.

So let’s start talking about the ultrasound applications and we actually want to figure out where ultrasound has been being used before it actually emerged to become a medical imaging technology. So this then leads us to ultrasound and medicine and later we want to use this knowledge about the physics of the waves to understand how the actual ultrasound image formation is done. This then brings us to understand the different purposes and the different applications of ultrasound in medical. Finally, we want to have a short consideration of the safety of ultrasound in imaging.

Image from the Medical Engineering lecture under CC BY 4.0.

Well, where are ultrasound being used and one of the earliest applications actually sonar and here you see an application where we can try to analyze the height of the ground in the sea. One of the…

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Andreas Maier

I do research in Machine Learning. My positions include being Prof @FAU_Germany, President @DataDonors, and Board Member for Science & Technology @TimeMachineEU