Thomas M. Deserno (born as Lehmann) received the Diplom (Masters degree) in electrical engineering (School of Engineering), the PhD (summa cum laude) in computer science (School of Science), and the habilitation in medical informatics (School of Medicine) from the Aachen University of Technology (RWTH), Aachen, Germany, in 1992, 1998, and 2004, respectively. Since 2007, he is full professor of medical informatics.
In 1992, he was research scientist at the Faculty of Electrical Engineering, RWTH Aachen. Since 1992 he has been with the Department of Medical Informatics, Medical Faculty, RWTH Aachen, where he currently heads the Division of Medical Image Processing. He co-authored a textbook on image processing for the medical sciences (Springer-Verlag, Berlin, Germany, 1997) and edited the Handbook of Medical Informatics (Hanser Verlag, Munich, Germany, 2005). His research interests include discrete realizations of continuous image transforms, medical image processing applied to quantitative measurements for computer-assisted diagnoses, and content-based image retrieval from large medical databases.
Dr. Deserno is Chairman of the working group Medical Image Processing within the German Society of Medical Informatics, Biometry and Epidemiology (GMDS) and served as Chairman of the IEEE Joint Chapter Engineering in Medicine and Biology (IEEE German Section). He is senior member of the Institute of Electrical and Electronics Engineers (IEEE), and member of the International Association of Dentomaxillofacial Radiology (IADMFR), and the Society of Photo-Optical Instrumentations Engineering (SPIE), where he is member of the Program Committee of the annual symposium on Medical Imaging (CAD Track). In 2015, he became Associated Editor of SPIE Journal of Medical Imaging.
In 1992, he was research scientist at the Faculty of Electrical Engineering, RWTH Aachen. Since 1992 he has been with the Department of Medical Informatics, Medical Faculty, RWTH Aachen, where he currently heads the Division of Medical Image Processing. He co-authored a textbook on image processing for the medical sciences (Springer-Verlag, Berlin, Germany, 1997) and edited the Handbook of Medical Informatics (Hanser Verlag, Munich, Germany, 2005). His research interests include discrete realizations of continuous image transforms, medical image processing applied to quantitative measurements for computer-assisted diagnoses, and content-based image retrieval from large medical databases.
Dr. Deserno is Chairman of the working group Medical Image Processing within the German Society of Medical Informatics, Biometry and Epidemiology (GMDS) and served as Chairman of the IEEE Joint Chapter Engineering in Medicine and Biology (IEEE German Section). He is senior member of the Institute of Electrical and Electronics Engineers (IEEE), and member of the International Association of Dentomaxillofacial Radiology (IADMFR), and the Society of Photo-Optical Instrumentations Engineering (SPIE), where he is member of the Program Committee of the annual symposium on Medical Imaging (CAD Track). In 2015, he became Associated Editor of SPIE Journal of Medical Imaging.
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Using heterogeneous annotation and visual information for the benchmarking of image retrieval system
This will count as one of your downloads.
You will have access to both the presentation and article (if available).
This course gives an overview of medical image formation, enhancement, analysis, visualization, and communication with many examples from medical applications. It starts with a brief introduction to medical imaging modalities and acquisition systems. Basic approaches to display one-, two-, and three-dimensional (3D) biomedical data are introduced. As a focus, image enhancement techniques, segmentation, texture analysis and their application in diagnostic imaging will be discussed. To complete this overview, storage, retrieval, and communication of medical images are also introduced.
In addition to this theoretical background, a 45 min practical demonstration with ImageJ is given. ImageJ is a Java-based platform for medical image enhancement and visualization. It is developed by the National Institutes of Health, USA, open source and freely available in the public domain. For this course, ImageJ is appropriately configured with useful plug-ins (e.g. DICOM import, 3D rendering) and distributed on CD-ROM. Attendees are welcome to perform on their own laptop computers.
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