227-0385-10L Biomedical Imaging
| Semester | Herbstsemester 2022 |
| Dozierende | S. Kozerke, K. P. Prüssmann |
| Periodizität | jährlich wiederkehrende Veranstaltung |
| Lehrsprache | Englisch |
| Kurzbeschreibung | Introduction to diagnostic medical imaging based on electromagnetic and acoustic fields including X-ray planar and tomographic imaging, radio-tracer based nuclear imaging techniques, magnetic resonance imaging and ultrasound-based procedures. | |||||||||||||||||||||||||||||||||||||||
| Lernziel | Upon completion of the course students are able to: • Explain the physical and mathematical foundations of diagnostic medical imaging systems • Characterize system performance based on signal-to-noise ratio, contrast-to-noise ratio and transfer function • Design a basic diagnostic imaging system chain including data acquisition and data reconstruction • Identify advantages and limitations of different imaging methods in relation to medical diagnostic applications | |||||||||||||||||||||||||||||||||||||||
| Inhalt | • Introduction (intro, overview, history) • Signal theory and processing (foundations, transforms, filtering, signal-to-noise ratio) • X-rays (production, tissue interaction, contrast, modular transfer function) • X-rays (resolution, detection, digital subtraction angiography, Radon transform) • X-rays (filtered back-projection, spiral computed tomography, image quality, dose) • Nuclear imaging (radioactive tracer, collimation, point spread function, SPECT/PET) • Nuclear imaging (detection principles, image reconstruction, kinetic modelling) • Magnetic Resonance (magnetic moment, spin transitions, excitation, relaxation, detection) • Magnetic Resonance (plane wave encoding, Fourier reconstruction, pulse sequences) • Magnetic Resonance (contrast mechanisms, gradient- and spin-echo, applications) • Ultrasound (mechanical wave generation, propagation in tissue, reflection, transmission) • Ultrasound (spatial and temporal resolution, phased arrays) • Ultrasound (Doppler shift, implementations, applications) • Summary, example exam questions | |||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes and handouts | |||||||||||||||||||||||||||||||||||||||
| Literatur | Webb A, Smith N.B. Introduction to Medical Imaging: Physics, Engineering and Clinical Applications; Cambridge University Press 2011 | |||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Analysis, Linear algebra, Physics, Basics of signal theory, Basic skills in Matlab/Python programming | |||||||||||||||||||||||||||||||||||||||
Geförderte Kompetenzen |
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