Visual Computing in Medicine
9/7/17 Visual Computing in Medicine Hans-Christian Hege Int. Summer School 2017 on Deep Learning and Visual Data Analysis, Ostrava, 07.Sept.2017 Acknowledgements Hans Lamecker Stefan Zachow Dagmar Kainmüller Heiko Ramm Britta Weber Daniel Baum ’ 1 9/7/17 Visual Computing Image-Related Disciplines Data Processing Non-Visual Data Image/Video Analysis Data Acquisition Computer Graphics Computer Vision Computer Animation Imaging VR, AR Data Visualization Visual Data Image/Video Processing 2 9/7/17 Visual Computing source: Wikipedia Visual computing = all computer science disciplines handling images and 3D models, i.e. computer graphics, image processing, visualization, computer vision, virtual and augmented reality, video processing, but also includes aspects of pattern recognition, human computer interaction, machine learning and digital libraries. Core challenges are the acquisition, processing, analysis and rendering of visual information (mainly images and video). Application areas include industrial quality control, medical image processing and visualization, surveying, robotics, multimedia systems, virtual heritage, special effects in movies and television, and computer games. Images (mathematically) Image: • Domain : compact; 2D, 3D; or 2D+t, 3D+t ⇒ video often: • Range : grey values, color values, “hyperspectral” values often: • Practical computing: domain and range are discretized • Domain “sampled” (pixels, voxels) • Range “quantized”, e.g., • Function piecewise constant or smooth interpolant 3 9/7/17 Image Examples (I) Grey value
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