Found 14 relevant results in 3.89s where lecturer="Sebastian Kozerke"
Introduction into selected topics of biomedical engineering as well as their relationship with physics and physiology. The focus is on learning the basic vocabulary of biomedical engineering and getting familiar with concepts that govern common medical instruments and the most important organs from an engineering point of view.
Biomedical Engineering A
Biomedizinische Technik A
Medical imaging techniques for the diagnosis of anatomical and functional pathologies.
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.
Two-week summer school organized by EXCITE (Center for EXperimental & Clinical Imaging TEchnologies Zurich) on biological and medical imaging. The course covers X-ray imaging, magnetic resonance imaging, nuclear imaging, ultrasound imaging, optoacoustic imaging, infrared and optical microscopy, electron microscopy, image processing and analysis.
Introduction to magnetic resonance imaging and spectroscopy, encoding and contrast mechanisms and their application in medicine.
Medical Imaging I
Medizinische Bildgebung I
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.
Medical Imaging II
Medizinische Bildgebung II
This block course is dedicated to assess diagnostic imaging information in order to derive or support a patient's diagnosis. Example cases will be presented and discussed in a flipped classroom setting. Applications of the various medical imaging modalities introduced during the Medical Imaging I course will be covered.
Reconstruction is an inverse problem which estimates images from noisy measurements. Model-based reconstructions use analytical models of the imaging process and priors. Data-based methods directly approximate inversion using training data. Combining these two approaches yields physics-aware neural nets and state-of-the-art imaging accuracy (MRI, US, CT, microscopy, non-destructive imaging).
The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work.
The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work.
The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work.
The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work.
The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work.