Fundamentals of Medical Image Processing and Analysis 2020

Fundamentals of Medical Image Processing and Analysis is organized by SPIE - The International Society for Optics and Photonics and will be held from Feb 15, 2020 at Marriott Marquis Houston, Houston, Texas, United States of America. This Course has been approved for a maximum of 0.7 CEU.

Target 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.

Course Description:
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 Objectives:
• 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