Orçun Göksel: Katalogdaten im Frühjahrssemester 2020
|Name||Herr Dr. Orçun Göksel|
|Lehrgebiet||Computergestützte Anwendungen in der Medizin|
|Departement||Informationstechnologie und Elektrotechnik|
|227-0383-00L||Medizinische Bildgebung I |
Nur für Humanmedizin BSc
|3 KP||3G||S. Kozerke, O. Göksel, R. Schibli, M. P. Wolf|
|Kurzbeschreibung||The course introduces the foundations of noninvasive imaging including X-ray imaging, Computed Tomography, Magnetic Resonance Imaging, Single Photon and Positron Emission Tomography, Ultrasound and Optical Imaging. Besides the physical and technical methodology, the assessment of imaging performance is covered to enable students to identify relative advantages and limitations.|
|Lernziel||The course enables students to:|
* explain physical and technical foundations of medical imaging
* characterise imaging performance
* interpret and analyse image content
* make an informed choice of modalities for clinical question
|Inhalt||Introduction + example cases of:|
* X-ray and Computed Tomography
* Magnetic Resonance Imaging
* Nuclear Imaging
* Ultrasound Imaging
* Optical Imaging
* Hybrid Imaging
|227-0384-00L||Ultrasound Fundamentals, Imaging, and Medical Applications|
Course is offered for the last time in Spring Semester 2020.
|4 KP||3G||O. Göksel|
|Kurzbeschreibung||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.|
|Lernziel||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.|
|Inhalt||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).
Hands-on exercises: These will help to apply the concepts learned in the course, using simulation environments (such as Matlab k-Wave and FieldII toolboxes). The exercises will involve a mix of design, implementation, and evaluation examples commonly encountered in practical applications.
Project: Current and relevant applications in the field of ultrasound are offered as project topics. Projects will be carried out throughout the course, where the project reporting and presentations will be due towards the end of the semester. These will be part of the assessment in grading.
|Voraussetzungen / Besonderes||Prerequisites: Familiarity with basic numerical methods.|
Basic programming skills in Matlab.