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This book provides a detailed treatment of online interventional techniques for motion compensation radiotherapy. It explains how adaptive motion intervention is imaging-intensive and relies on near real-time image acquisition and processing. With a focus on the strategy of online motion compensation, the book discusses necessary motion detection methodology, repositioning methodology, and how to interpret and respond to target movement data in real time. It covers methods of detection and correction and then offers examples. It also gives attention to the distinct problems in dose planning and delivery posed by each adaptation technology.
Dr. Martin J. Murphy received his Ph.D. in physics from the University of Chicago in 1980. Following postdoctoral fellowships in nuclear physics at the University of California/Berkeley and the University of Washington and a stint as a research scientist in gamma-ray astronomy at the Lockheed Palo Alto Research Laboratories, he entered the field of radiation therapy research and development in 1992 as Director of System Development of the CyberKnife at Accuray Incorporated. In 1995, he joined the Department of Radiation Oncology at Stanford University as a senior research scientist to continue development of the CyberKnife's image guidance and target tracking capabilities. In 2003, Dr Murphy joined the Department of Radiation Oncology at Virginia Commonwealth University, where he is presently engaged in several research programs involving medical image registration, CT reconstruction, and real-time motion-adaptive control systems.
Introduction. Real-Time Tumor Localization. Theoretical Aspects of Target Detection and Tracking. Respiratory Gating. The CyberKnife® Image-Guided Frameless Radiosurgery System. Fundamentals of Tracking with a LINAC MLC. Couch-Based Target Alignment. Robotic LINAC Tracking Based on Correlation and Prediction. Treatment Planning for Motion Adaptation in Radiation Therapy. Treatment Planning for Motion Management via DMLC Tracking. Real-Time Motion Adaptation in Tomotherapy® using a Binary MLC. Combination of a LINAC with 1.5 T MRI for Real-Time Image-Guided Radiotherapy. The ViewRayTM System. Fault Detection in Image-Based Tracking.
