2022-10-10 - 2022-10-14
Marc Kachelrieß, Elias Eulig, Michael Knaup, Joscha Maier, and Stefan Sawall
German Cancer Research Center (DKFZ)
CT is the workhorse of the radiologist. The technology is mature, on a very high level. Nevertheless, exciting hardware and software developments are taking place that will further push the limits of CT. This lecture gives a comprehensive insight into CT technology, CT physics, and CT algorithms, starting with the very basics, ending with the latest applications and future developments. This also includes dose assessment, measures of image quality and dose, dose reduction, and artifact reduction. With this course you will understand the mathematics of tomographic image reconstruction (analytic, iterative, and deep-learning-based), some details of their implementation in C++, the physics of CT (including beam hardening and scatter as well as prefiltration and tube current modulation), the properties of state-of-the art and future x-ray detectors, such as they are used in photon-counting CT just recently, as well as the basics and potential of deep learning in the field of CT. Moreover, you will learn about the clinical applications and the clinical relevance of CT. In addition, very recent developments and publications will be highlighted from time to time during the course. This give you an impression what current research in CT is about and what the future directions could be.
