Orçun Göksel: Catalogue data in Spring Semester 2019
|Dr. Orçun Göksel
|Computer-assisted Applications in Medicine
|Information Technology and Electrical Engineering
|Medical Imaging I
Only for Human Medicine BSc
|S. Kozerke, O. Göksel, R. Schibli, M. P. Wolf
|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.
|The course enables students to
1) explain the physical and technical foundations of medical imaging,
2) characterise imaging performance,
3) interpret and analyse image content and
4) make an informed choice of modalities for a given clinical question.
|Introduction + Example case
X-ray and Computed Tomography
Magnetic Resonance Imaging
Clinical imaging case pitches
|Ultrasound Fundamentals, Imaging, and Medical Applications
Number of participants limited to 60.
|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.
|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.
|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: These will be part of the assessment in grading. Projects will be carried out throughout the course, individually or in small groups. Project reporting and presentations will be due at the end of the semester. Topics highly relevant in the field of ultrasound are offered as suggested projects. Students are also welcome to propose custom project topics of their own.
|Prerequisites / Notice
|Prerequisites: Familiarity with basic numerical methods.
Basic programming skills in Matlab.