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Image-Based Computer-Assisted Radiation Therapy 2017 Edition by Hidetaka Arimura, ISBN-13: 978-9811029431

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Image-Based Computer-Assisted Radiation Therapy 2017 Edition by Hidetaka Arimura, ISBN-13: 978-9811029431

[PDF eBook eTextbook]

  • Publisher: ‎ Springer; 1st ed. 2017 edition (February 13, 2017)
  • Language: ‎ English
  • 391 pages
  • ISBN-10: ‎ 9811029431
  • ISBN-13: ‎ 978-9811029431

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.

Dr. Hidetaka Arimura, PhD, Professor
Division of Medical Quantum Science, Department of Health Sciences
Faculty of Medical Sciences, Kyushu University

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