Visual Computing in Medicine 2 (VCMed2)- Dozentinnen/Dozenten
- PD Dr.-Ing. Thomas Wittenberg, PD Dr.-Ing. Peter Hastreiter
- Angaben
- Vorlesung
, ECTS-Studium, ECTS-Credits: 2,5
für FAU Scientia Gaststudierende zugelassen, Sprache Englisch
Zeit und Ort: Do 12:15 - 13:45, H10
- Studienfächer / Studienrichtungen
- WPF MT-MA 1-4
WF ICT-MA ab 1
WPF INF-MA ab 1
WPF MT-BA 6
WPF AI-MA ab 1
- Voraussetzungen / Organisatorisches
- Until further notice, this course will take place in electronic form. Detailed information is provided in the StudOn-course "Visual Computing in Medicine 2 (VCMed 2) - summer term 2020".
Bis auf Weiteres findet der Kurs in elektronischer Form statt. Weitere Informationen finden Sie im StudOn-Kurs "Visual Computing in Medicine 2 (VCMed 2) - summer term 2020".
- Inhalt
- Building onto the lecture VCMed1, VCMed2 provides examples of concrete solutions for diagnosis and therapy planning based on complex clinical images. It provides information how basic methods are selected and combined into practical applicable concepts. Examples from clinical applications will be used to relate strategies and requirements in clinical practice as well as the development process. Additionally, methods of medical image analysis and visualization are discussed in detail.
Linking methods of medical image analysis and visualization for processing diagostic and interventional questions Providing algorithmic approaches with concrete solution strategies for the processing of clinical iamges from the perspective of medical needs Overview of various medical imaging domains Multimodal image registration with non-rigid transformations Current topics of image-based diagnosis and therapy planning
- Empfohlene Literatur
- P.M. Schlag, S. Eulenstein, Th. Lange „Computerassistierte Chirurgie", Elsevier Verlag 2010
H. Handels, „Medizinische Bildverarbeitung, Bildanalyse, Mustererkennung und Visualisierung für die computergestützte ärztliche Diagnostik und Therapie", Vieweg und Teubner Verlag, 2009 B. Preim, D. Bartz, "Visualization in Medicine - Theory, Algorithms, and Applications”, Morgan Kaufmann Verlag, 2007 E. Neri, D. Caramella, C. Bartolozzi, „Image Processing in Radiology", Springer Verlag, 2008 Th. Lehmann, W. Oberschelp, E. Pelikan, R. Pepges, „Bildverarbeitung für die Medizin", Springer Verlag, 1997
- ECTS-Informationen:
- Title:
- Visual Computing in Medicine 2
- Credits: 2,5
- Contents
- Based on VCMed1 the lecture VCMed2 discusses practical approaches for the diagnosis and therapy planning of complex diseases. It will be shown how fundamental methods are selected and integrated to practically applicable concepts. Examples demonstrate the relation to strategies and requirements in clinical practice and the industrial development process. Additionally, complex methods of medical image analysis and visualization will be explained.
Combination of methods for medical image analysis and visualization in order to treat cardiological, neurological, oncological problems Complex approaches with precise strategies for the processing of important disease patterns form a medical application point of view Software development process from industrial point of view Overview of complex disease patterns Multimodal image registration with nonlinear transformations Current topics of image based diagnosis and therapy planning Practical demonstrations in the labs and in the clinics
- Literature
- P.M. Schlag, S. Eulenstein, Th. Lange „Computerassistierte Chirurgie", Elsevier Verlag 2010
H. Handels, „Medizinische Bildverarbeitung, Bildanalyse, Mustererkennung und Visualisierung für die computergestützte ärztliche Diagnostik und Therapie", Vieweg und Teubner Verlag, 2009 B. Preim, D. Bartz, "Visualization in Medicine - Theory, Algorithms, and Applications”, Morgan Kaufmann Verlag, 2007 E. Neri, D. Caramella, C. Bartolozzi, „Image Processing in Radiology", Springer Verlag, 2008 Th. Lehmann, W. Oberschelp, E. Pelikan, R. Pepges, „Bildverarbeitung für die Medizin", Springer Verlag, 1997
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 45, Maximale Teilnehmerzahl: 50
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2022/2023:
- Visual Computing in Medicine (VCMed)
- Institution: Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)
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