4D Modeling and Estimation of Respiratory Motion for Radiation Therapy

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint : Springer, 2013

Abstract/Sommario: 4D Image Acquisition -- Motion Estimation and Modeling -- Modeling of Motion Variability -- Applications of Motion Estimation Algorithms -- Outlook. - 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. ...; [leggi tutto] 4D Image Acquisition -- Motion Estimation and Modeling -- Modeling of Motion Variability -- Applications of Motion Estimation Algorithms -- Outlook. - 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 [comprimi]

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Dettagli

Campo	Valore
Descrizione	4D Modeling and Estimation of Respiratory Motion for Radiation Therapy / edited by Jan Ehrhardt, Cristian Lorenz. - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint : Springer, 2013. - XX, 341 p. 111 ill., 75 ill. in color ; digital. - (Biological and Medical Physics, Biomedical Engineering)
Specifiche	[Supporto spec. Risorsa elettr.] Risorsa remota
Note	Springer eBooks. - Printed edition: 9783642364402
Collezione	[Fa parte di] Biological and Medical Physics, Biomedical Engineering [Vai al dettaglio]
Autori	Ehrhardt, Jan - [Responsabilità principale] Lorenz, Cristian - [Responsabilità secondaria] SpringerLink (Online service) - [Responsabilità secondaria]
Soggetto	Biomedical engineering Biophysics and Biological Physics Medical and Radiation Physics Nuclear medicine Physics Pneumology Pneumology/Respiratory System
Classificazione	610.153
Lingua	Inglese
Numeri	ISBN: 978-3-642-36441-9 DOI: 10.1007/978-3-642-36441-9 N. catalogo straniero: QC474-496.9 (Library of Congress Call Number) N. catalogo straniero: R895-920 (Library of Congress Call Number)
ID scheda	130144
Permalink	https://www.opac.inaf.it/?ids=130144