Image-Based Computer-Assisted Radiation Therapy

This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in computer-assisted radiation therapy based on image engineering. It also traces major technical advancements and research findings in the field of image-based computer-assisted...

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Bibliographic Details
Corporate Author SpringerLink (Online service)
Other Authors Arimura, Hidetaka (Editor)
Format Electronic eBook
LanguageEnglish
Published Singapore : Springer Singapore : Imprint: Springer, 2017.
Subjects
Online AccessFull text
ISBN9789811029455
DOI10.1007/978-981-10-2945-5
Physical DescriptionX, 381 p. 185 illus., 118 illus. in color. online resource.

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Summary:This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in computer-assisted radiation therapy based on image engineering. It also traces major technical advancements and research findings in the field of image-based computer-assisted radiation therapy. In high-precision radiation therapies, novel approaches in image engineering including computer graphics, image processing, pattern recognition, and computational anatomy play important roles in improving the accuracy of radiation therapy and assisting decision making by radiation oncology professionals, such as radiation oncologists, radiation technologists, and medical physicists, in each phase of radiation therapy. All the topics presented in this book broaden understanding of the modern medical technologies and systems for image-based computer-assisted radiation therapy. Therefore this volume will greatly benefit not only radiation oncologists and radiologists but also radiation technologists, professors in medical physics or engineering, and engineers involved in the development of products to utilize this advanced therapy.
ISBN:9789811029455
Access:Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
DOI:10.1007/978-981-10-2945-5
Physical Description:X, 381 p. 185 illus., 118 illus. in color. online resource.