Medical Image Processing, Reconstruction and Analysis: Concepts and Methods, Second Edition

2nd Edition

Jiri Jan

CRC Press
August 13, 2019 Forthcoming
Reference - 544 Pages - 300 B/W Illustrations
ISBN 9781138310285 - CAT# K35800
Series: Signal Processing and Communications

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Summary

Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing, focusing namely on applications used in medical imaging – providing a theoretical yet clear and easy to follow explanation of underlying generic concepts.

The content of this book is divided into three parts:

  • Part IImages as Multidimensional Signals provides the introduction tobasic image processing theory, explaining it for both analogue and digital image representations.
  • Part IIImaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining – without technical details – their basic principles influencing the properties of the obtained images, with emphasis placed on analyzing the internal signals and (pre)image data that are to be processed by the methods described in this book.
  • Part IIIImage Processing and Analysis focuses on such vital image processing topics as tomographic image reconstruction, image fusion, methods if image enhancement and restoration. It explains concepts of both fundamental-level image analysis detailing local feature, edge and texture analysis, image segmentation and morphological transforms, and higher-level analysis, as principal and independent component analysis and namely the new analysis area based on deep learning, namely that using convolutional neural networks. Briefly, also the medical image-processing environment is briefly treated, including the processes for image archiving and communication.

Features

  • Presents a good, theoretically exact yet understandable overview of basic theory related to image processing and analysis, with practical interpretations of all theoretical conclusions
  • Provides a concise treatment of a wide variety of medical imaging modalities with respect to properties of image data to be processed
  • Includes topical discussions on medical image reconstruction, fusion, enhancement and restoration as well as on image analysis including the recently appearing deep-learning based methods
  • Explores appropriate applications relevant to particular chapters