Handbook of Medical Imaging: Processing and Analysis ManagementIn recent years, the remarkable advances in medical imaging instruments have increased their use considerably for diagnostics as well as planning and follow-up of treatment. Emerging from the fields of radiology, medical physics and engineering, medical imaging no longer simply deals with the technology and interpretation of radiographic images. The limitless possibilities presented by computer science and technology, coupled with engineering advances in signal processing, optics and nuclear medicine have created the vastly expanded field of medical imaging. The Handbook of Medical Imaging is the first comprehensive compilation of the concepts and techniques used to analyze and manipulate medical images after they have been generated or digitized. The Handbook is organized in six sections that relate to the main functions needed for processing: enhancement, segmentation, quantification, registration, visualization as well as compression storage and telemedicine.* Internationally renowned authors(Johns Hopkins, Harvard, UCLA, Yale, Columbia, UCSF)* Includes imaging and visualization* Contains over 60 pages of stunning, four-color images |
Other editions - View all
Common terms and phrases
algorithm anatomical applications approach arterial atlas automated B-spline boundary brain images breast cancer chapter classification clinical Computer Computer Vision contour coordinate coregistration cortex cortical cost function data set defined deformable models density detection distance transform edge enhancement estimate evaluation example field FIGURE filter Fourier fuzzy geometric global gradient gray histogram Human Brain IEEE IEEE Trans image analysis image data Image Processing image registration image segmentation intensity interpolation linear magnetic resonance imaging mammograms mammographic mapping matrix matrix logarithm measure Medical Imaging methods microcalcifications motion mutual information noise nonlinear normal optimal orientation parameters patient Pattern pixel plane Proc quantitative radiologists regions rotation sample scan sequence shape shown in Fig signal slices spatial spatial normalization structures sulcus surface Talairach techniques template texture three-dimensional threshold tion tissue transformation tumor variability vector ventricular visualization volume rendering volumetric voxel warping wavelet