Marriott Marquis Houston
Houston, Texas, United States
15 - 20 February 2020
Course (SC086)
Fundamentals of Medical Image Processing and Analysis
Saturday 15 February 2020
8:30 AM - 5:30 PM

FormatCourse
Member Price $565.00
Non-Member Price $660.00
Student Member Price $294.00
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Course
Details
  • Course Level:
  • Intermediate
  • CEU:
  • 0.7
Course
Summary
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.
Learning Outcomes
  • identify major processes involved in formation of medical images
  • recognize the imaging modality from their visualization
  • classify the various medical image processing algorithms
  • describe fundamental methods of image enhancement
  • enhance medical images using appropriate software
  • visualize all types of medical image data
  • appraise efficacy and drawbacks of several techniques of image segmentation
  • get familiar with the fundamental concepts of texture analysis
  • explain the basic principles of medical image communication
  • get started with ImageJ and self-perform fundamentals of medical image processing
Intended
Audience
Engineers, scientists, biomedical researchers and managers who need a basic understanding of medical image processing technologies and methods. Some prior background with image processing and computer technology will be helpful.
About the
Instructor
Thomas M. Deserno (né Lehmann), PhD, is full professor of Medical Informatics at TU Braunschweig University, Germany, where he heads the Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School. He lectures undergraduate and graduate courses on biomedical signal and image acquisition and processing, co-authored the textbook Image Processing for the Medical Sciences (1997), and edited the Handbook of Medical Informatics (2005) and Biomedical Image Processing (2011). His research interests include signal and image analysis for computer-assisted diagnoses and event prediction as well as eHealth applications, where he has authored over 100 scientific publications. Dr. Deserno is Senior Member of IEEE and SPIE, where he is member of the Program Committee of the Medical Imaging Symposium (both, computer-aided diagnosis and imaging informatics tracks). He is a member of the International Association of Dentomaxillofacial Radiology (IADMFR), and serves on the International Editorial Boards of PLOS ONE, the European Journal for Biomedical Informatics, Methods of Information in Medicine, Dentomaxillofacial Radiology, World Journal of Radiology, Acta Informatics Medica, and GMS Medical Informatics, Biometry and Epidemiology (MIBE). He is Co-editor Europe of the International Journal of Healthcare Information Systems and Informatics and Associated Editor of the SPIE Journal of Medical Imaging. He is the German representative in the International Medical Informatics Association (IMIA).
Additional
Notes
This course is also available in online format.
Attendee testimonial:
Excellent depth and breadth-I really enjoyed the course.
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