Image Processing in Radiation Therapy

Kristy K. (The University of Texas MD Anderson Cancer Center Brock

ISBN 10: 1439830177 / ISBN 13: 9781439830178

Edité par Taylor & Francis Inc Aug 2013, 2013

A propos de cet article

Neuware - This book provides complete descriptions of the techniques involved in medical image processing, using sufficient descriptions and practical references. Chapters cover topics of deformable registration, segmentation, image reconstruction, and integration of these practices into the radiation therapy environment. The four sections provide an overview of the image segmentation and reconstruction techniques using image processing across all modalities, and applications of these approaches in radiation therapy. The book also addresses the applications of registration, segmentation, and image reconstruction for radiation therapy, including adaptive radiotherapy, monitoring and tracking of treatment delivery, quantifying accuracy, and visualizing results.

N° de réf. du vendeur 9781439830178

Détails bibliographiques

• Titre: Image Processing in Radiation Therapy
• Éditeur: Taylor & Francis Inc Aug 2013
• Date de parution: 2013
• Langue: anglais
• ISBN à 10 chiffres: 1439830177
• ISBN à 13 chiffres: 9781439830178
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 284 L x 221 H x 19 P (en millimètres) 284 millimètres de largeur par 221 millimètres de hauteur par 19 millimètres de profondeur
• Poids: 926 grammes

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Kristy K. Brock is an associate professor in the Department of Radiation Oncology at the University of Michigan, where she received her Ph.D. in nuclear engineering and radiological sciences. She is a board member of the American Association of Physicists in Medicine (AAPM), the therapy science director for the 2013 AAPM 2013 annual meeting, an editorial board member of Medical Physics, and a diplomat in therapeutic radiological physics of the American Board of Radiology. Her research focuses on deformable registration for dose accumulation and adaptive radiotherapy, the application of biomechanical modeling in correlative pathology, and therapy response assessment.