Jiri Jan Medical Image Processing, Reconstruction and Analysis: Concepts and Methods, Second Edition 9781138310285

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Автор: Jiri Jan
Название: Medical Image Processing, Reconstruction and Analysis: Concepts and Methods, Second Edition
ISBN: 9781138310285
Издательство: Taylor&Francis
Классификация:

Медицинская визуализация

Биомедицинская техника

Обработка изображений

ISBN-10: 113831028X
Обложка/Формат: Hardcover
Страницы: 608
Вес: 1.22 кг.
Дата издания: 15.09.2019
Серия: Signal processing and communications
Язык: English
Издание: 2 ed
Иллюстрации: 1 tables, black and white; 300 illustrations, black and white
Размер: 186 x 260 x 42
Читательская аудитория: Professional & vocational
Ключевые слова: Biomedical engineering, MEDICAL / Biotechnology,SCIENCE / Research & Methodology,TECHNOLOGY & ENGINEERING / Electrical
Подзаголовок: Concepts and methods, second edition
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: 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 I – Images as Multidimensional Signals provides the introduction tobasic 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 – 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 III – Image 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

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