Prediction and Classification of Respiratory Motion

• Main Authors: Lee, Suk Jin (Author), Motai, Yuichi (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
• Series: Studies in Computational Intelligence, 525
• Subjects: Engineering.; Health informatics.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Health Informatics.

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 contrib...

Table of Contents:

• Review: Prediction of Respiratory Motion
• Phantom: Prediction of Human Motion with Distributed Body Sensors
• Respiratory Motion Estimation with Hybrid Implementation
• Customized Prediction of Respiratory Motion
• Irregular Breathing Classification from Multiple Patient Datasets
• Conclusions and Contributions.