Kalender - Computed Tomography: Fundamentals, System Technology, Image Quality, Applications

Completely revised and expanded overview of theoretical and technical system fundamentals of computed tomography

Among the most common and widely used medical assessment tools, computed tomography (CT) can be found in thousands of hospitals and doctors' offices. Essential as a diagnostic tool, CT scans provide an easy and non-invasive path for doctors and their patients to identify unusual or difficult to assess issues within the body. Operation of this machinery, however, and the interpretation of the imaging results it produces, requires experience and intimate expertise of the physics and the technology involved.

Written by some of the world's leading experts, Computed Tomography's fourth edition is a comprehensive description of the theoretical and technical system fundamentals of CT for a wide readership. The book explains the different levels of complexity of CT technology, from conventional single-slice acquisitions to volume acquisition with multi-slice and cone-beam spiral CT. It also provides detailed instructions on the relevant parameters for image quality, as well as performance features which are significant for clinical application. Moreover, it addresses the more interpersonal aspects of using this instrument, specifically use of contrast and appropriate patient dosages. This broad overview will, as a result, help readers use a CT system to an optimum level, depending on the varied diagnostic requirements.

Computed Tomography features extensive online supplementary material, including high-resolution CT figures from the book, clear case studies, and interactive exercises for image viewing and manipulation. Readers will also find: Focused attention on spiral CT and its applications Latest developments towards advanced multi-slice and cone-beam CT A glossary that describes important technical terms in alphabetical order New to the fourth edition: explorations of breast CT, automatic exposure control, and machine learning in CT

Computed Tomography is an essential introduction to this highly relevant field for institutions and professionals alike. Ideal for radiologists, radiation therapists and physicians, clinical physicists, physicists in industry, and lecturers in medicine.