Main description:

Using real medical images and techniques, this book provides a practical introduction to medical image processing. The author combines clearly written textual explanations with numerous tables, diagrams, and figures as well as illustrative examples and exercises using MATLAB[registered] and Octave. The accompanying CD contains sample images and files that can be used with either program. Topics discussed include image representation, operations in intensity space, simple segmentation methods, filtering and transformation, signal representation in the Fourier domain, spatial transforms, visualization techniques, image fusion, and tomographic volume reconstruction.

Contents:

A Few Basics of Medical Image Sources, J. Hummel Radiology The Electromagnetic Spectrum Basic X-ray Physics Attenuation and Imaging Computed Tomography Magnetic Resonance Tomography Ultrasound Nuclear Medicine and Molecular Imaging Other Imaging Techniques Radiation Protection and Dosimetry Summary and Further References Image Representation, W. Birkfellner Pixels and Voxels Gray Scale and Color Representation Image File Formats DICOM Other Formats - Analyze 7.5, NifTI and Interfile Image Quality and the Signal-to-Noise Ratio Practical Lessons Summary and Further References Operations in Intensity Space, W. Birkfellner The Intensity Transform Function and the Dynamic Range Windowing Histograms and Histogram Operations Dithering and Depth Practical Lessons Summary and Further References Filtering and Transformations, W. Birkfellner The Filtering Operation The Fourier Transform Other Transforms Summary and Further References Segmentation, W. Birkfellner The Segmentation Problem ROI Definition and Centroids Thresholding Region Growing More Sophisticated Segmentation Methods Morphological Operations Evaluation of Segmentation Results Practical Lessons Summary and Further References Spatial Transforms, W. Birkfellner Discretization - Resolution and Artifacts Interpolation and Volume Regularization Translation and Rotation Reformatting Tracking and Image-Guided Therapy Practical lessons Summary and Further References Registration, W. Birkfellner Fusing Information Registration Paradigms Optimization Strategies Some General Comments Camera Calibration Registration to Physical Space Evaluation of Registration Results Practical Lessons Summary and Further References Rendering and Surface Models, W. Birkfellner Visualization Orthogonal and Perspective Projection, and the Viewpoint Raycasting Surface-Based Rendering Practical Lessons Summary and Further References CT Reconstruction, M. Figl Introduction Radon transform Algebraic Reconstruction Some Remarks on Fourier Transform and Filtering Filtered Backprojection Practical Lessons Summary and Further References A Selection of MATLAB Commands Control Structures and Operators I/O and Data Structures Mathematical Functions Further References Glossary Epilogue, W. Birkfellner Index