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Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: 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 conceptually different motion estimation algorithms. Buchnummer des Verkäufers

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Inhaltsangabe: 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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?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 book seems predominantly aimed at engineers, physicists and researchers. ... The book is most useful as a reference for many different staff groups, and as such would be a valuable addition to any medical physics and engineering departmental bookshelf.? (Mark Worrall, Scope, Vol. 23 (2), June, 2014)

?This is an in-depth review of advanced topics in 4D imaging and modeling of respiratory motion. ... The equation derivations are particularly helpful to researchers and students trying to understand the basic principles. ... The authors demonstrate a thorough knowledge of 4D imaging and modeling of respiratory motion. The chapters are well structured and contain a wealth of detailed and timely information.? (Jing Cai, Doody?s Book Reviews, March, 2014)

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Jan Ehrhardt, Cristian Lorenz
Verlag: Springer 2013-06-12 (2013)
ISBN 10: 3642364403 ISBN 13: 9783642364402
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Buchbeschreibung Springer 2013-06-12, 2013. Hardcover. Buchzustand: New. Buchnummer des Verkäufers NU-LBR-01193966

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Buchbeschreibung Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, 2013. HRD. Buchzustand: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Buchnummer des Verkäufers GB-9783642364402

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Ehrhardt, Jan (EDT)/ Lorenz, Cristian (EDT)
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Buchbeschreibung Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2013-05-31, Berlin, 2013. hardback. Buchzustand: New. Buchnummer des Verkäufers 9783642364402

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Buchbeschreibung Buchzustand: New. Bookseller Inventory # ST3642364403. Buchnummer des Verkäufers ST3642364403

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Buchbeschreibung Springer-Verlag Berlin and Heidelberg GmbH & Co. KG. Hardback. Buchzustand: new. BRAND NEW, 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy, Jan Ehrhardt, Cristian Lorenz, 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. Buchnummer des Verkäufers B9783642364402

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Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2013)
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Buchbeschreibung Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2013. Buchzustand: New. 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 conceptually different motion estimation algorithms. Editor(s): Ehrhardt, Jan; Lorenz, Cristian. Series: Biological and Medical Physics, Biomedical Engineering. Num Pages: 341 pages, biography. BIC Classification: MJL; MMN; MMPH; MQW. Category: (P) Professional & Vocational. Dimension: 159 x 241 x 25. Weight in Grams: 668. . 2013. 2013th Edition. Hardcover. . . . . . Buchnummer des Verkäufers V9783642364402

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Buchbeschreibung Hardback. Buchzustand: New. Not Signed; 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. book. Buchnummer des Verkäufers ria9783642364402_rkm

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Buchbeschreibung 2013. Hardcover. Buchzustand: New. 157mm x 25mm x 234mm. Hardcover. 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 .Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. 341 pages. 0.658. Buchnummer des Verkäufers 9783642364402

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Buchbeschreibung Springer-Verlag Gmbh Jun 2013, 2013. Buch. Buchzustand: Neu. 249x159x27 mm. Neuware - 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. 19 pp. Englisch. Buchnummer des Verkäufers 9783642364402

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Buchbeschreibung Springer-Verlag Gmbh Jun 2013, 2013. Buch. Buchzustand: Neu. 249x159x27 mm. Neuware - 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. 19 pp. Englisch. Buchnummer des Verkäufers 9783642364402

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