LECTURE NOTES IN MEDICAL ENGINEERING

How to Characterise Images in Computed Tomography

CT Reconstruction — Noise, Artifacts & Challenges

Andreas Maier
28 min readMar 16, 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 start with the third part of CT and in this video, we want to look into spatial resolution, noise, and artifacts emerging in these images. You will get a better understanding of how the different sources affect the actual image quality that is produced at the end of the scanning choice.

Image from the Medical Engineering lecture under CC BY 4.0.

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Andreas Maier
Andreas Maier

Written by Andreas Maier

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

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