Lecture, four hours; discussion, two hours. Requisite: course 200 or equivalent. Overview of medical image modalities and 3D visualization, classical image processing (histogram analysis and filtering), modern deep learning techniques (convolutional networks), image alignment, and statistical analysis of populations. Letter grading.