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

The book provides an exact yet understandable explanation of concepts, principles and substantial applications of image processing methods. This is done in a consistent manner so that different fields are described in individual chapters, utilizing the same mathematical notation and similar structure of explanation. The book provides examples in the form of figures and processed images but it is not intended to describe in-depth special processing pipelines for specialized medical tasks. Each chapter will be updated to reflect the latest developments in the theoretical approaches in that particular subject matter. There will be a major emphasis on the inclusion of appropriate applications.

Differently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts.

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.

• 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