Medical Image AnalysisIntelligent processing of multi-dimensional images has become crucial in conventional or computer-aided interpretation for radiological and diagnostic applications. This focused text provides the in-depth knowledge of the modalities used to acquire images for medical image reconstruction and processing and enables medical professionals to effectively select and develop the most appropriate image reconstruction and processing methods for accurate analysis and interpretation. This thorough introduction to the acquisition of images and the intelligent interpretation and analysis of biomedical images discusses such essentials as:
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Contents
Medical Imaging Modalities | 53 |
Image Reconstruction | 112 |
Image Enhancement | 139 |
Copyright | |
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A. P. Dhawan algorithm anatomical applied binary Biomedical boundary brain images centroid classification clustering Computed Tomography contour coordinate system defined deformation described detector diagnostic display emission encoding energy enhancement Equation filter Fourier transform frequency domain function fuzzy gradient gray values gray-level high-pass filter histogram IEEE IEEE Trans image processing image reconstruction image registration imaging scanner input interaction interpolation iso-surface iteration lesion linear Magnetic Resonance Magnetic Resonance Imaging mammography mapping MATLAB Medical Image Analysis medical imaging modalities metric tensor microcalcifications neighborhood neural network nuclei object obtained optimization parameter PET data PET imaging photons pixels positron Positron Emission Tomography principal axes projection pulse sequence radiation radiological Radon transform representation representing RF pulse rotation sampled points scan scanner selected shown in Figure signal slice specific SPECT spin structures surface three-dimensional threshold tion tissue ultrasound imaging vector ventricle model visualization volumetric data voxels wavelet X-ray