| 书目名称 | Prediction and Classification of Respiratory Motion |
| 编辑 | Suk Jin Lee,Yuichi Motai |
| 视频video | |
| 概述 | Recent research in Prediction and Classification of Respiratory Motion.Introduction to recent algorithms describing respiratory motion.Written by experts in the field.Includes supplementary material: |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .This book describes recent radiotherapy technologies including tools for measuring target position during radiotherapy and tracking-based delivery systems. .This book presents a customized prediction of respiratory motion with clustering from multiple patient interactions. The proposed method contributes to the improvement of patient treatments by considering breathing pattern for the accurate dose calculation in radiotherapy systems. Real-time tumor-tracking, where the prediction of irregularities becomes relevant, has yet to be clinically established. The statistical quantitative modeling for irregular breathing classification, in which commercial respiration traces are retrospectively categorized into several classes based on breathing pattern are discussed as well. The proposed statistical classification may provide clinical advantages to adjust the dose rate before and during the external beam radiotherapy for minimizing the safety margin..In the first chapter following the Introduction to this book, we review three prediction approaches of respiratory motion: model-based methods, model-free heuristic learning algorithms, and hybrid methods. In the following chapter, we pres |
| 出版日期 | Book 2014 |
| 关键词 | Classification of Respiratory Motion; Computational Intelligence; Prediction of Respiratory Motion; Res |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-41509-8 |
| isbn_softcover | 978-3-662-51064-3 |
| isbn_ebook | 978-3-642-41509-8Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2014 |
发表于 2025-3-21 16:42:31
