Suchergebnis: Katalogdaten im Frühjahrssemester 2015

Biomedical Engineering Master Information
Master-Studium gemäss Studienreglement 2009
Vertiefungsfächer
Bioimaging
Empfohlene Wahlfächer
Diese Fächer sind für die Vertiefung in Bioimaging besonders empfohlen. Bei abweichender Fächerwahl konsultieren Sie bitte den Track Adviser.
NummerTitelTypECTSUmfangDozierende
227-0967-00LComputational Neuroimaging Clinic Information W3 KP2VK. Stephan
KurzbeschreibungThis seminar teaches problem solving skills for the design and analysis of neuroimaging data (fMRI, EEG). It deals with a wide variety of real-life problems that are brought to this meeting from the neuroimaging community at Zurich. Examples may include mass-univariate and multivariate analyses of fMRI data, dynamic causal modeling of fMRI and EEG data.
Lernziel1. Consolidation of theoretical knowledge (obtained in the 'Methods & models for fMRI data analysis' lecture) in a practical setting.
2. Acquisition of practical problem solving strategies for computational modeling of neuroimaging data.
InhaltThis seminar teaches problem solving skills for the design and analysis of neuroimaging data (fMRI, EEG). It deals with a wide variety of real-life problems that are brought to this meeting from the neuroimaging community at Zurich. Examples may include mass-univariate and multivariate analyses of fMRI data, dynamic causal modeling of fMRI and EEG data.
151-0622-00LMeasuring on the Nanometer ScaleW2 KP2GA. Stemmer
KurzbeschreibungIntroduction to theory and practical application of measuring techniques suitable for the nano domain.
LernzielIntroduction to theory and practical application of measuring techniques suitable for the nano domain.
InhaltConventional techniques to analyze nano structures using photons and electrons: light microscopy with dark field and differential interference contrast; scanning electron microscopy, transmission electron microscopy. Interferometric and other techniques to measure distances. Optical traps. Foundations of scanning probe microscopy: tunneling, atomic force, optical near-field. Interactions between specimen and probe. Current trends, including spectroscopy of material parameters.
SkriptClass notes and special papers will be distributed.
Voraussetzungen / BesonderesThis course is taught together with T. Wagner and H. Beyer.
227-0390-00LElements of MicroscopyW4 KP3GM. Stampanoni, G. Csúcs, R. A. Wepf
KurzbeschreibungDie Vorlesung fasst sich mit den Grundlagen der Mikroskopie (Wellen Fortpflanzung, Beugung sowie Aberrationen). Lichtmikroskopie in alle ihre Aspekten (Fluoreszenz, Konfokale und Multiphoton), 3D Elektronenmikroskopie sowie tomographische Röntgenmikroskopie werden präsentiert.
LernzielSolide Einführung in die Grundlagen der Mikroskopie, sei es mit sichtbaren Licht, Elektronen oder Röntgenstrahlen.
InhaltWissenschaftliche Arbeit im Naturwissenschaftlichen Gebiet wäre ohne Mikroskopie kaum denkbar. Heutzutage stehen den Forscher extrem kräftige Werkzeuge zur Verfügung um Proben bis auf das atomare Niveau zu untersuchen. Die Vorlesung umfasst eine allgemeine Einführung in die Grundsätze der Mikroskopie, von der Wellenphysik bis zur Entstehung von Bildern. Sie liefert die physikalischen und technischen Grundkenntnisse über Lichtmikroskopie, Elektronenmikroskopie und Röntgenmikroskopie.
Während ausgewählten Übungsstunden im Labor werden hochentwickelten Instrumenten gezeigt und ihre Funktion sowie ihren Potential dargestellt.
LiteraturOnline verfügbar.
227-0396-00LEXCITE Interdisciplinary Summer School on Bio-Medical Imaging Information Belegung eingeschränkt - Details anzeigen
The school admits 60 MSc or PhD students with backgrounds in biology, chemistry, mathematics, physics, computer science or engineering based on a selection process. Students have to apply for acceptance by 27 April 2015. To apply a curriculum vitae and an application letter need to be submitted. Further information can be found at: www.excite.ethz.ch.
W3 KP6GS. Kozerke, Y. Barral, G. Csúcs, G. Székely, R. A. Wepf, M. P. Wolf
KurzbeschreibungTwo-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, infrared and optical microscopy, electron microscopy, image processing and analysis.
LernzielStudents understand basic concepts and implementations of biological and medical imaging. Based on relative advantages and limitations of each method they can identify preferred procedures and applications. Common foundations and conceptual differences of the methods can be explained.
InhaltTwo-week summer school on biological and medical imaging. The course covers concepts and implementations of X-ray imaging, magnetic resonance imaging, nuclear imaging, ultrasound imaging, infrared and optical microscopy and electron microscopy. Multi-modal and multi-scale imaging and supporting technologies such as image analysis and modeling are discussed. Dedicated modules for physical and life scientists taking into account the various backgrounds are offered.
SkriptHand-outs, Web links
Voraussetzungen / BesonderesThe school admits 60 MSc or PhD students with backgrounds in biology, chemistry, mathematics, physics, computer science or engineering based on a selection process. To apply a curriculum vitae, a statement of purpose and applicants references need to be submitted. Further information can be found at: www.excite.ethz.ch/education/summer_school.
227-0973-00LTranslational Neuromodeling Information W3 KP2VK. Stephan
KurzbeschreibungThis lecture deals with computational modeling of neuronal and cognitive processes for diagnostic applications in psychiatry ("Translational Neuromodeling"). A particular focus is on Bayesian methods and generative models, e.g. dynamic system models for inferring neuronal mechanisms from neuroimaging data, and hierarchical learning models for inference on cognitive mechanisms from behaviour.
LernzielTo obtain an understanding of the goals and methods of translational neuromodeling, particularly with regard to Bayesian models of neuroimaging (fMRI, EEG) and behavioural data.
InhaltThis lecture deals with computational modeling of neuronal and cognitive processes for diagnostic applications in psychiatry ("translational neuromodeling"). A particular focus is on Bayesian methods and generative models, e.g. dynamic causal models (DCMs) for inferring neuronal mechanisms from neuroimaging data, and hierarchical learning models for inference on cognitive mechanisms from behavioural data. The course illustrates the application of these models to various psychiatric diseases and outlines a general research strategy.
LiteraturSee TNU website:
http://www.biomed.ee.ethz.ch/research/tnu/teaching
Voraussetzungen / BesonderesBasic knowledge of Bayesian statistics, MATLAB programming skills
227-0971-00LComputational Psychiatry Information W3 KP2SK. Stephan
KurzbeschreibungCurrent methods and concepts for deciphering mechanisms of maladaptive behaviour, such as aberrant learning and decision-making in healthy individuals and psychiatric patients. The key goal is to connect methodological training with biological and clinical knowledge about the phenomenology and pathophysiology of psychiatric and neurological diseases.
LernzielTo understand current concepts about computational and physiological mechanisms of maladaptive behaviour and psychiatric diseases.
InhaltIn this seminar, we discuss current methods and concepts for deciphering mechanisms of maladaptive behaviour, such as aberrant learning and decision-making in healthy individuals and psychiatric patients. The key goal is to connect methodological training (in computational and statistical techniques for analyzing behavioural, fMRI and EEG data) with biological and clinical knowledge about the phenomenology and pathophysiology of psychiatric and neurological diseases. This seminar aims at bridging the gap between mathematical modelers and clinical neuroscientists, enabling more effective communication and joint translational research. To this end, each semester a novel topic is chosen which is examined both from clinical/biological and modeling perspectives.
376-1397-00LOrthopaedic BiomechanicsW4 KP3GR. Müller, K. S. Stok, G. H. Van Lenthe
KurzbeschreibungThis course is aimed at studying the mechanical and structural engineering of the musculoskeletal system alongside the analysis and design of orthopaedic solutions to musculoskeletal failure.
LernzielTo apply engineering and design principles to orthopaedic biomechanics, to quantitatively assess the musculoskeletal system and model it, and to review rigid-body dynamics in an interesting context.
InhaltEngineering principles are very important in the development and application of quantitative approaches in biology and medicine. This course includes a general introduction to structure and function of the musculoskeletal system: anatomy and physiology of musculoskeletal tissues and joints; biomechanical methods to assess and quantify tissues and large joint systems. These methods will also be applied to musculoskeletal failure, joint replacement and reconstruction; implants; biomaterials and tissue engineering.
SkriptLecture notes and exercises will be placed online:
http://www.biomech.ethz.ch/obm
LiteraturOrthopaedic Biomechanics:
Mechanics and Design in Musculoskeletal Systems

Authors: Donald L. Bartel, Dwight T. Davy, Tony M. Keaveny
Publisher: Prentice Hall; Copyright: 2007
ISBN-10: 0130089095; ISBN-13: 9780130089090
Voraussetzungen / BesonderesLectures will be given in English.
402-0673-00LPhysics in Medical Research: From Humans to CellsW6 KP2V + 1UB. K. R. Müller
KurzbeschreibungThe aim of this lecture series is to introduce the role of physics in state-of-the-art medical research and clinical practice. Topics to be covered range from applications of physics in medical implant technology and tissue engineering, through imaging technology, to its role in interventional and non-interventional therapies.
LernzielThe lecture series is focused on applying physics in diagnosis, planning, and therapy close to clinical practice and fundamental medical research. Beside a general overview the lectures give a deep insight into selected techniques, which will help the students to apply the knowledge to related techniques.

In particular, the lectures will elucidate the physics behind the X-ray imaging currently used in clinical environment and contemporary high-resolution developments. It is the goal to visualize and quantify microstructures of human tissues and implants as well as their interface.

Ultrasound is not only used for diagnostic purposes but includes therapeutic approaches such as the control of the blood-brain barrier under MR-guidance.

Physicists in medicine are working on modeling and simulation. Based on the vascular structure in cancerous and healthy tissues, the characteristic approaches in computational physics to develop strategies against cancer are presented. In order to deliberately destroy cancerous tissue, heat can be supplied or extracted in different manner: cryotherapy (heat conductivity in anisotropic, viscoelastic environment), radiofrequency treatment (single and multi-probe), laser application, and proton therapy.

Medical implants play an important role to take over well-defined tasks within the human body. Although biocompatibility is here of crucial importance, the term is insufficiently understood. The aim of the lectures is the understanding of biocompatibility performing well-defined experiments in vitro and in vivo. Dealing with different classes of materials (metals, ceramics, polymers) the influence of surface modifications (morphology and surface coatings) are key issues for implant developments.

Mechanical stimuli can drastically influence soft and hard tissue behavior. The students should realize that a physiological window exists, where a positive tissue response is expected and how the related parameter including strain, frequency, and resting periods can be selected and optimized for selected tissues such as bone.

For the treatment of severe incontinence artificial smart muscles have to be developed. The students should have a critical look at promising solutions and the selection procedure as well as realize the time-consuming and complex way to clinical practice.

The course will be completed by a visit of advanced facilities within a leading Swiss hospital.
InhaltThis lecture series will cover the following topics:
February 21 Introduction: Medical imaging/proton therapy
February 28 X-ray-based computed tomography in clinics and medical research
March 7 High-resolution computed tomography in biomedical research
March 14 Focused ultrasound and its clinical use
March 21 Minimally invasive medical interventions
March 28 Metallic medical implants and scaffolds for tissue engineering
April 4 Natural and synthetic ceramics for implants and regenerative medicine
April 11 Degradable and non-degradable polymers for medical implants
April 18 Easter break
April 25 Easter break
May 2 Smart instruments and sensors
May 9 Physics in dentistry
May 16 Biomedical simulations
May 23 Development of artificial muscles
May 30 Physical research in hospital environment
Skripthttp://www.bmc.unibas.ch/education/ETH_Zurich.phtml

login and password to be provided during the lecture
Voraussetzungen / BesonderesStudents from other departments are very welcome to join and gain insight into a variety of sophisticated techniques for the benefit of patients.
No special knowledge is required. Nevertheless, gaps in basic physical knowledge will result in additional efforts.
227-1034-00LComputational Vision Information W6 KP2V + 1UD. Kiper, K. A. Martin
KurzbeschreibungIn diesem Kurs studieren wir die neuronalen Prozesse, welche die visuelle Wahrnehmung unterstützen. Wir lernen, wie visuelle Signale in der Netzhaut, dem CGN und im visuellen Kortex vearbeitet werden. Wir studieren die Morphologie und funktionelle Architektur der visuellen neuralen Netzwerke, die für Wahrnehmung von Form, Farbe, Bewegung, und Dreidimensionalität verantwortlich sind.
LernzielThis course considers the operation of circuits in the process of neural computations. The evolution of neural systems will be considered to demonstrate how neural structures and mechanisms are optimised for energy capture, transduction, transmission and representation of information. Canonical brain circuits will be described as models for the analysis of sensory information. The concept of receptive fields will be introduced and their role in coding spatial and temporal information will be considered. The constraints of the bandwidth of neural channels and the mechanisms of normalization by neural circuits will be discussed.
The visual system will form the basis of case studies in the computation of form, depth, and motion. The role of multiple channels and collective computations for object recognition will
be considered. Coordinate transformations of space and time by cortical and subcortical mechanisms will be analysed. The means by which sensory and motor systems are integrated to allow for adaptive behaviour will be considered.
InhaltThis course considers the operation of circuits in the process of neural computations. The evolution of neural systems will be considered to demonstrate how neural structures and mechanisms are optimised for energy capture, transduction, transmission and representation of information. Canonical brain circuits will be described as models for the analysis of sensory information. The concept of receptive fields will be introduced and their role in coding spatial and temporal information will be considered. The constraints of the bandwidth of neural channels and the mechanisms of normalization by neural circuits will be discussed.
The visual system will form the basis of case studies in the computation of form, depth, and motion. The role of multiple channels and collective computations for object recognition will
be considered. Coordinate transformations of space and time by cortical and subcortical mechanisms will be analysed. The means by which sensory and motor systems are integrated to allow for adaptive behaviour will be considered.
465-0952-00LMedical OpticsW3 KP2VM. Frenz, M. Mrochen
KurzbeschreibungThe lecture introduces the principles of generation, propagation and detection of light and its therapeutic and diagnostic application in medicine.
LernzielThe lecture provides knowledge about light sources and light delivery systems, optical biomedical imaging techniques, optical measurement technologies and their specific applications in medicine. Different selected optical systems used in diagnostics and therapy will be discussed.
InhaltOptics always was strongly connected to the observation and interpretation of physiological phenomenon. The basic knowledge of optics for example was initially gained by studying the function of the human eye. Nowadays, biomedical optics is an independent research field that is no longer restricted to the observation of physiological processes but studies diagnostic and therapeutic problems in medicine. A basic prerequisite for applying optical techniques in medicine is the understanding of the physical properties of light, the light propagation in and its interaction with tissue. The lecture gives inside into the generation, propagation and detection of light, its propagation in tissue and into selected optical applications in medicine. Various optical imaging techniques (optical coherence tomography or optoacoustics) as well as therapeutic laser applications (refractive surgery, photodynamic therapy or nanosurgery) will be discussed.
Skriptwill be provided via Internet
Literatur- M. Born, E. Wolf, "Principles of Optics", Pergamon Press
- B.E.A. Saleh, M.C. Teich, "Fundamentals of Photonics", John Wiley and Sons, Inc.
- O. Svelto, "Principles of Lasers", Plenum Press
- J. Eichler, T. Seiler, "Lasertechnik in der Medizin", Springer Verlag
- M.H. Niemz, "Laser-Tissue Interaction", Springer Verlag
- A.J. Welch, M.J.C. van Gemert, "Optical-thermal response of laser-irradiated tissue", Plenum Press
Voraussetzungen / BesonderesLanguage of instruction: German or English by agreement
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