A practical approach to medical image processing
著者
書誌事項
A practical approach to medical image processing
（Series in medical physics and biomedical engineering / editors: C.G. Orton, J.A.E. Spaan, J.G. Webster）
Taylor & Francis, c2007
並立書誌 全1件
大学図書館所蔵 全5件
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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 downloadable resources contain 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.
目次
Image Processing Basics. Segmentation and Classification. Spatial Domain Filtering. Frequency Domain Filtering. Image Analysis Operations. Image Data Formats and Image Compression. Image Restoration. Image Registration. Visualization and 3D Methods. Good Practice. Case Studies. For Instructors. References.
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