DOWNLOAD ~ Guide to Medical Image Analysis * by Klaus D. Toennies ~ eBook PDF Kindle ePub Free

eBook details

Title: Guide to Medical Image Analysis
Author : Klaus D. Toennies
Release Date : January 04, 2012
Genre: Software,Books,Computers & Internet,Professional & Technical,Medical,Computers,
Pages : * pages
Size : 13407 KB

Description

Analysis of medical imaging poses special challenges distinct from traditional image analysis. Furthermore, the analysis must fit into the clinical workflow within which it has been requested.

This important guide/reference presents a comprehensive overview of medical image analysis. Highly practical in its approach, the text is uniquely structured by potential applications, supported by exercises throughout. Each of the key concepts are introduced in a concise manner, allowing the reader to understand the interdependencies between them before exploring the deeper details and derivations.

Topics and features:
Presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviationsDescribes a range of common imaging techniques, reconstruction techniques and image artefactsDiscusses the archival and transfer of images, including the HL7 and DICOM standardsPresents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothingExamines various feature detection and segmentation techniques, together with methods for computing a registration or normalisation transformationExplores object detection, as well as classification based on segment attributes such as shape and appearanceReviews the validation of an analysis methodIncludes appendices on Markov random field optimization, variational calculus and principal component analysis
This easy-to-follow, classroom-tested textbook is ideal for undergraduate and graduate courses on medical image analysis and related subjects – with possible course outlines suggested in the Preface. The work can also be used as a self-study guide for professionals in medical imaging technology, and for computer scientists and engineers wishing to specialise in medical applications.