ENGG 199: Medical Image Visualization and Analysis (ENGG 199-03)


20W: 10A

20S: Arrange
Thayer Faculty

The goal of this course is to introduce graduate level and senior undergraduate students who are working in biomedical imaging research to image processing and visualization in 3D using advanced libraries and fully functional software development framework. The two most widely used open source software tools for medical image analysis and visualization will be used as the platform: The Insight Registration Segmentation Toolkit (ITK) and the Visualization Toolkit (VTK). ITK is an open-source, widely adopted, cross-platform system that provides developers with an extensive suite of software tools for image analysis, including fundamental algorithms for image segmentation and registration. VTK is an open-source, widely adopted, software system for 3D computer graphics, modeling, image processing, volume rendering, scientific visualization, and information visualization. The student will gain understanding of the working of all subroutines and practical application implementing these routines into customized workflow. The course will also introduce the use of OpenCV for applying computer vision and machine learning algorithms to biomedical images and data. Moreover, a full software development environment will be employed to create release-quality applications. This will include the use of source control to track code changes and bugs, Qt for user interface development, and CMake for development environment control. This state of the art forms the basis for most medical visualization software used today, and students will learn the use of these tools and complete required exercises and projects, with an emphasis on real-world clinical applications.