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4D modeling and estimation of respiratory motion for radiation therapy

Author: Jan Ehrhardt; Cristian Lorenz
Publisher: Berlin ; New York : Springer, ©2013.
Series: Biological and medical physics, biomedical engineering.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Respiratory motion causes an important uncertainty in radiotherapy planning of the thorax and upper abdomen. The main objective of radiation therapy is to eradicate or shrink tumor cells without damaging the surrounding tissue by delivering a high radiation dose to the tumor region and a dose as low as possible to healthy organ tissues. Meeting this demand remains a challenge especially in case of lung tumors due to  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jan Ehrhardt; Cristian Lorenz
ISBN: 9783642364419 3642364411
OCLC Number: 847630853
Description: 1 online resource.
Contents: 4D Image Acquisition. Helical 4D CT and Comparison with Cine 4D CT / Tinsu Pan --
Acquiring 4D Thoracic CT Scans Using Ciné CT Acquisition / Daniel Low --
Motion Estimation and Modeling. Biophysical Modeling of Respiratory Organ Motion / René Werner --
Feature-Based Registration Techniques / Cristian Lorenz, Tobias Klinder, Jens von Berg --
Intensity-Based Deformable Registration: Introduction and Overview / David Sarrut, Jef Vandemeulebroucke, Simon Rit --
Intensity-Based Registration for Lung Motion Estimation / Kunlin Cao ... [et al.] --
Validation and Comparison of Approaches to Respiratory Motion Estimation / Sven Kabus ... [et al.] --
Modeling of Motion Variability. Estimating Internal Respiratory Motion from Respiratory Surrogate Signals Using Correspondence Models / Jamie McClelland --
Computational Motion Phantoms and Statistical Models of Respiratory Motion / Jan Ehrhardt, Tobias Klinder, Cristian Lorenz --
Applications of Motion Estimation Algorithms. 4-Dimensional Imaging for Radiation Oncology: A Clinical Perspective / Max Dahele, Suresh Senan --
Respiratory Motion Prediction in Radiation Therapy / Sastry Vedam --
Estimation of Lung Ventilation / Kai Ding ... [et al.] --
Respiratory Motion Correction in Cone-Beam CT for Image-Guided Radiotherapy / Simon Rit, David Sarrut, Jan-Jakob Sonke --
Introduction to 4D Motion Modeling and 4D Radiotherapy / Paul Keall, Tokihiro Yamamoto, Yelin Suh.
Series Title: Biological and medical physics, biomedical engineering.
Responsibility: Jan Ehrhardt, Cristian Lorenz, editors.
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Abstract:

This book illustrates the role of image registration and motion estimation algorithms for the interpretation of complex 4D medical image sequences. It presents 4D CT image acquisition techniques and  Read more...

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From the reviews: "This book provides a very welcome one-stop reference on the subject. ... each chapter is painstakingly referenced and the end-of-chapter reference sections are extensive. ... The Read more...

 
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schema:description"Respiratory motion causes an important uncertainty in radiotherapy planning of the thorax and upper abdomen. The main objective of radiation therapy is to eradicate or shrink tumor cells without damaging the surrounding tissue by delivering a high radiation dose to the tumor region and a dose as low as possible to healthy organ tissues. Meeting this demand remains a challenge especially in case of lung tumors due to breathing-induced tumor and organ motion where motion amplitudes can measure up to several centimeters. Therefore, modeling of respiratory motion has become increasingly important in radiation therapy. With 4D imaging techniques spatiotemporal image sequences can be acquired to investigate dynamic processes in the patient's body. Furthermore, image registration enables the estimation of the breathing-induced motion and the description of the temporal change in position and shape of the structures of interest by establishing the correspondence between images acquired at different phases of the breathing cycle. In radiation therapy these motion estimations are used to define accurate treatment margins, e.g. to calculate dose distributions and to develop prediction models for gated or robotic radiotherapy. In this book, the increasing role of image registration and motion estimation algorithms for the interpretation of complex 4D medical image sequences is illustrated. Different 4D CT image acquisition techniques and conceptually different motion estimation algorithms are presented. The clinical relevance is demonstrated by means of example applications which are related to the radiation therapy of thoracic and abdominal tumors. The state of the art and perspectives are shown by an insight into the current field of research. The book is addressed to biomedical engineers, medical physicists, researchers and physicians working in the fields of medical image analysis, radiology and radiation therapy."
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