Image Processing in Radiation Therapy

Images from CT MRI PET and other medical instrumentation have become central to the radiotherapy process in the past two decades thus requiring medical physicists clinicians dosimetrists radiation therapists and trainees to integrate and segment these images efficiently and accurately in a clinical environment. Image Processing in Radiation Therapy presents an up-to-date detailed treatment of techniques and algorithms for the registration segmentation reconstruction and evaluation of imaging data. It describes how these tools are used in radiation planning treatment delivery and outcomes assessment. The book spans deformable registration segmentation and image reconstruction and shows how to incorporate these practices in radiation therapy. The first section explores image processing in adaptive radiotherapy online monitoring and tracking dose accumulation and accuracy assessment. The second section describes the mathematical approach to deformable registration. The book presents similarity metrics used for registration techniques discussing their effectiveness and applicability in radiation therapy. It also evaluates parametric and nonparametric image registration techniques and their applications in radiation therapy processes. The third section assesses the efficiency robustness and breadth of application of image segmentation approaches including atlas-based level set and registration-based techniques. The fourth section focuses on advanced imaging techniques for radiotherapy such as 3D image reconstruction and image registration using a graphics processor unit. With contributions from an international group of renowned authors this book provides a comprehensive description of image segmentation and registration in-room imaging and advanced reconstruction techniques. Through many practical examples it illustrates the clinical rationale and implementation of the techniques.