Berry | A Practical Approach to Medical Image Processing | E-Book | sack.de
E-Book

E-Book, Englisch, 304 Seiten

Reihe: Series in Medical Physics and Biomedical Engineering

Berry A Practical Approach to Medical Image Processing


1. Auflage 2007
ISBN: 978-1-58488-825-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 304 Seiten

Reihe: Series in Medical Physics and Biomedical Engineering

ISBN: 978-1-58488-825-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



The ability to manipulate and analyze pictorial information to improve medical diagnosis, monitoring, and therapy via imaging is a valuable tool that every professional working in radiography, medical imaging, and medical physics should utilize. However, previous texts on the subject have only approached the subject from a programming or computer science viewpoint at a mathematically inaccessible level. Unlike these previous publications, A Practical Approach to Medical Imaging Processing provides hands-on instruction, using the freely available software program ImageJ, on all of the skills needed to perform filtering and image enhancement techniques used in structured image discrimination. In this unique text, the author focuses exclusively on image processing and treats medical images in a generic way to highlight the features that all digital images have in common. The book first introduces the main topics in image processing and as it progresses, you will discover relevant points of good practice. The author validates each technique with a corresponding case study, which originates from a published journal article. The case studies demonstrate how the concepts of image processing are applied to real-life situations, such as how to uncover information suffering from distortion and pixel-size limitations. The accompanying CD-ROM contains the Windows version of the ImageJ software, digital images, and documents to be used during the practical activities included in each chapter. With its highly functional workbook approach, A Practical Approach to Medical Image Processing allows you to build your skills in image manipulation and to enjoy the benefits of this valuable field without having to code or develop your own program.

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Zielgruppe


Graduate students in medical imaging, medical physics and medical engineering; graduate students and final year students in radiography; Medical physicists in training; Computing and electronic engineering students, final year options/projects; Postgraduate medical specialists e.g. in radiology, orthopaedics, dermatology, ophthalmology; CPD (continuing professional development)


Autoren/Hrsg.


Weitere Infos & Material


IMAGE PROCESSING BASICS
Definition of Image Processing
Introduction to ImageJ
Grayscale Image Processing Basics
Spatial Image Processing Basics
The Five Classes of Image Processing
SEGMENTATION AND CLASSIFICATION
Segmentation
Classification
SPATIAL DOMAIN FILTERING
Spatial Filtering Operations
Adaptive Filtering
FREQUENCY DOMAIN FILTERING
The Spatial Domain and the Frequency Domain
Frequency Domain Filtering
IMAGE ANALYSIS OPERATIONS
Image Arithmetic
Binary Image Operations
 
IMAGE DATA FORMATS AND IMAGE COMPRESSION
Image Data Formats
Image Compression
IMAGE RESTORATION
Blurring Arising from the Imaging System Itself
Geometrical Distortion
Gray-Level In homogeneity
IMAGE REGISTRATION
Image Registration
Dimensionality and Number of Modalities
Visualization of Registered Images
Applications
VISUALIZATION AND -D METHODS
Taxonomy for Visualization
Scene-Based Visualization
Object-Based Visualization
Other Visualization Methods
Good Practice Considerations
 
GOOD PRACTICE
Scientific Rigor
Ethical Practice
Human Factors
Information Technology
CASE STUDIES
Image Enhancement
Segmentation
Image Compression
Image Registration
Visualization
 
FOR INSTRUCTORS
Writing Macros and Plug-in for ImageJ
Article-Based Case Studies
Extensions to Material in Preceding Chapters
Publicly Available Data
 
Index
Each chapter includes Feedback on Self-Assessment Questions, References, Good Practice Considerations, and a Summary.



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