Adaptive Motion Compensation in Radiotherapy

External-beam radiotherapy has long been challenged by the simple fact that patients can (and do) move during the delivery of radiation. Recent advances in imaging and beam delivery technologies have made the solution—adapting delivery to natural movement—a practical reality. Adaptive Motion Compensation in Radiotherapy provides the first detailed treatment of online interventional techniques for motion compensation radiotherapy. This authoritative book discusses: Each of the contributing elements of a motion-adaptive system, including target detection and tracking, beam adaptation, and patient realignment Treatment planning issues that arise when the patient and internal target are mobile Integrated motion-adaptive systems in clinical use or at advanced stages of development System control functions essential to any therapy device operating in a near-autonomous manner with limited human interaction Necessary motion-detection methodology, repositioning techniques, and approaches to interpreting and responding to target movement data in real time Medical therapy with external beams of radiation began as a two-dimensional technology in a three-dimensional world. However, in all but a limited number of scenarios, movement introduces the fourth dimension of time to the treatment problem. Motion-adaptive radiation therapy represents a truly four-dimensional solution to an inherently four-dimensional problem. From these chapters, readers will gain not only an understanding of the technical aspects and capabilities of motion adaptation but also practical clinical insights into planning and carrying out various types of motion-adaptive radiotherapy treatment.

IntroductionMartin J. MurphyReal-time tumor localizationRuijiang Li, Laura I. Cerviño, and Steve B. JiangTheoretical aspects of target detection and trackingGregory C. SharpRespiratory gatingGeoffrey D. Hugo and Martin J. MurphyThe CyberKnife® image-guided frameless radiosurgery systemMartin J. MurphyFundamentals of tracking with a linac MLCDualta McQuaid and Steve WebbCouch-based target alignmentKathleen T. Malinowski and Warren D. D’SouzaRobotic LINAC tracking based on correlation and predictionFlorist Ernst and Achim SchweikardTreatment planning for motion adaptation in radiation therapyAlexander SchlaeferTreatment planning for motion management via DMLC trackingLech Papiez and Dharanipathy RangarajReal-time motion adaptation in Tomotherapy® using a binary MLCWeiguo Lu, Mingli Chen, Carl Mauer, and Gustavo OliveraCombination of a LINAC with 1.5 T MRI for real-time image-guided radiotherapyJan J. W. Lagendijk, Bas W. Raaymakers, and Marco Van VulpenThe ViewRayTM systemDaniel LowFault detection in image-based trackingGregory C. Sharp

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.