4D Modeling and Estimation of Respiratory Motion f

Name: 4D Modeling and Estimation of Respiratory Motion f
ISBN: 9783642364402

Language: English

Published by Springer, 2013

3642364403 / 9783642364402

Series: Book 43 of 101 - Biological and Medical Physics, Biomedical Engineering

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Title: 4D Modeling and Estimation of Respiratory Motion f
Publisher: Springer
Publication year: 2013
Condition: Brand New
Binding: Hardcover
Language: English
ISBN 10: 3642364403
ISBN 13: 9783642364402
Series: Book 43 of 101: Biological and Medical Physics, Biomedical Engineering

From the Back Cover

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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