Applied Medical Image Processing: A Basic Course

摘要: List of Figures Tables Foreword Preface to the First Edition Second User Guide Acknowledgments Chapter 1: A Few Basics Medical Image Sources Radiology The Electromagnetic Spectrum Basic X-Ray Physics Attenuation and Imaging Computed Tomography Magnetic Resonance Ultrasound Nuclear Medicine Molecular Other Techniques Radiation Protection Dosimetry Summary Further References 2: Processing in Clinical Practice Application Examples Databases Intensity Operations Filter Segmentation Spatial Transforms Rendering Surface Models Registration CT Reconstruction 3: Representation Pixels Voxels Gray Scale Color File Formats DICOM - Analyze 7.5, NIfTI, Interfile Quality Signal-to-Noise Ratio Practical Lessons 4: Space Transform Function Dynamic Range Windowing Histograms Histogram Dithering Depth 5: Filtering Transformations Operation Fourier 6: Problem ROI Definition Centroids Thresholding Region Growing More Sophisticated Methods Morphological Evaluation Results 7: Discretization Resolution Artifacts Interpolation Volume Regularization Translation Rotation Reformatting Tracking Image-Guided Therapy 8: Visualization Orthogonal Perspective Projection, Viewpoint Raycasting Surface-Based 9: Fusing Information Paradigms Merit Functions Optimization Strategies Some General Comments Camera Calibration Physical 10: Introduction Radon Algebraic Remarks on Filtered Backprojection 11: Tutorial Guided Hands-On Approach Therapy, Navigation System Theory 12: Selection MATLAB(R) Commands Control Structures Operators I/O Data Mathematical Index