Search result: Catalogue data in Spring Semester 2018
MAS in Medical Physics | ||||||
Specialization: General Medical Physics and Biomedical Engineering | ||||||
Major in Bioimaging | ||||||
Core Courses | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
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227-0390-00L | Elements of Microscopy | W | 4 credits | 3G | M. Stampanoni, G. Csúcs, A. Sologubenko | |
Abstract | The lecture reviews the basics of microscopy by discussing wave propagation, diffraction phenomena and aberrations. It gives the basics of light microscopy, introducing fluorescence, wide-field, confocal and multiphoton imaging. It further covers 3D electron microscopy and 3D X-ray tomographic micro and nanoimaging. | |||||
Learning objective | Solid introduction to the basics of microscopy, either with visible light, electrons or X-rays. | |||||
Content | It would be impossible to imagine any scientific activities without the help of microscopy. Nowadays, scientists can count on very powerful instruments that allow investigating sample down to the atomic level. The lecture includes a general introduction to the principles of microscopy, from wave physics to image formation. It provides the physical and engineering basics to understand visible light, electron and X-ray microscopy. During selected exercises in the lab, several sophisticated instrument will be explained and their capabilities demonstrated. | |||||
Literature | Available Online. | |||||
227-0946-00L | Molecular Imaging - Basic Principles and Biomedical Applications | W | 2 credits | 2V | M. Rudin | |
Abstract | Concept: What is molecular imaging. Discussion/comparison of the various imaging modalities used in molecular imaging. Design of target specific probes: specificity, delivery, amplification strategies. Biomedical Applications. | |||||
Learning objective | Molecular Imaging is a rapidly emerging discipline that translates concepts developed in molecular biology and cellular imaging to in vivo imaging in animals and ultimatly in humans. Molecular imaging techniques allow the study of molecular events in the full biological context of an intact organism and will therefore become an indispensable tool for biomedical research. | |||||
Content | Concept: What is molecular imaging. Discussion/comparison of the various imaging modalities used in molecular imaging. Design of target specific probes: specificity, delivery, amplification strategies. Biomedical Applications. | |||||
227-0948-00L | Magnetic Resonance Imaging in Medicine | W | 4 credits | 3G | S. Kozerke, M. Weiger Senften | |
Abstract | Introduction to magnetic resonance imaging and spectroscopy, encoding and contrast mechanisms and their application in medicine. | |||||
Learning objective | Understand the basic principles of signal generation, image encoding and decoding, contrast manipulation and the application thereof to assess anatomical and functional information in-vivo. | |||||
Content | Introduction to magnetic resonance imaging including basic phenomena of nuclear magnetic resonance; 2- and 3-dimensional imaging procedures; fast and parallel imaging techniques; image reconstruction; pulse sequences and image contrast manipulation; equipment; advanced techniques for identifying activated brain areas; perfusion and flow; diffusion tensor imaging and fiber tracking; contrast agents; localized magnetic resonance spectroscopy and spectroscopic imaging; diagnostic applications and applications in research. | |||||
Lecture notes | D. Meier, P. Boesiger, S. Kozerke Magnetic Resonance Imaging and Spectroscopy | |||||
227-0384-00L | Ultrasound Fundamentals, Imaging, and Medical Applications Number of participants limited to 25. | W | 4 credits | 3G | O. Göksel | |
Abstract | Ultrasound is the only imaging modality that is nonionizing (safe), real-time, cost-effective, and portable, with many medical uses in diagnosis, intervention guidance, surgical navigation, and as a therapeutic option. In this course, we introduce conventional and prospective applications of ultrasound, starting with the fundamentals of ultrasound physics and imaging. | |||||
Learning objective | Students can use the fundamentals of ultrasound, to analyze and evaluate ultrasound imaging techniques and applications, in particular in the field of medicine, as well as to design and implement basic applications. | |||||
Content | Ultrasound is used in wide range of products, from car parking sensors, to assessing fault lines in tram wheels. Medical imaging is the eye of the doctor into body; and ultrasound is the only imaging modality that is nonionizing (safe), real-time, cheap, and portable. Some of its medical uses include diagnosing breast and prostate cancer, guiding needle insertions/biopsies, screening for fetal anomalies, and monitoring cardiac arrhythmias. Ultrasound physically interacts with the tissue, and thus can also be used therapeutically, e.g., to deliver heat to treat tumors, break kidney stones, and targeted drug delivery. Recent years have seen several novel ultrasound techniques and applications – with many more waiting in the horizon to be discovered. This course covers ultrasonic equipment, physics of wave propagation, numerical methods for its simulation, image generation, beamforming (basic delay-and-sum and advanced methods), transducers (phased-, linear-, convex-arrays), near- and far-field effect, imaging modes (e.g., A-, M-, B-mode), Doppler and harmonic imaging, ultrasound signal processing techniques (e.g., filtering, time-gain-compensation, displacement tracking), image analysis techniques (deconvolution, real-time processing, tracking, segmentation, computer-assisted interventions), acoustic-radiation force, plane-wave imaging, contrast agents, micro-bubbles, elastography, biomechanical characterization, high-intensity focused ultrasound and therapy, lithotripsy, histotripsy, photo-acoustics phenomenon and opto-acoustic imaging, as well as sample non-medical applications such as the basics of non-destructive testing (NDT). | |||||
Prerequisites / Notice | Hands-on exercises will help apply concepts learned in the module, and will involve a mix of designing, implementing, and evaluating in simulation environments, such as Matlab FieldII and k-Wave toolboxes. Prerequisites: Familiarity with basic numerical methods. Basic programming skills and experience in Matlab. |
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