Medical Image Processing, Reconstruction and Analysis

Medical Image Processing, Reconstruction and Analysis – Concepts and Methods

Explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging.

The content of this book is divided into three parts:

Part I – Images as Multidimensional Signals

Provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations.

Part II – Imaging Systems as Data Sources

Offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included.

Part III – Image Processing and Analysis

Focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication.

Features

Presents a theoretically exact yet understandable explanation of image processing and analysis concepts and methods

Offers practical interpretations of all theoretical conclusions, as derived in the consistent explanation

Provides a concise treatment of a wide variety of medical imaging modalities including novel ones, with respect to properties of provided image data