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4D modeling and estimation of respiratory motion for radiation therapy Jan Ehrhardt, Cristian Lorenz, editors
Springer Nature - Springer Physics and Astronomy (R0) eBooks 2013 English International Available online
View online- Format:
- Book
- Series:
- Biological and medical physics, biomedical engineering
- Biological and medical physics, Biomedical engineering 1618-7210
- Language:
- English
- Subjects (All):
- Medical physics.
- Radiotherapy--Mathematical models.
- Radiotherapy.
- Respiration--Measurement.
- Respiration.
- Statistics.
- Diagnosis--Data processing.
- Diagnosis.
- Diagnostic imaging.
- Radiography, Medical--Image quality.
- Radiography, Medical.
- Tomography.
- Therapeutics.
- Radiography.
- Public health.
- Medical care.
- Motion.
- Tomography, X-Ray Computed.
- Statistics as Topic.
- Epidemiologic Research Design.
- Diagnosis, Computer-Assisted.
- Diagnostic Imaging.
- Therapy, Computer-Assisted.
- Mathematical Concepts.
- Radiotherapy, Computer-Assisted.
- Imaging, Three-Dimensional.
- Physical Phenomena.
- Epidemiologic Methods.
- Health Care Evaluation Mechanisms.
- Radiographic Image Enhancement.
- Diagnostic Techniques and Procedures.
- Tomography, X-Ray.
- Phenomena and Processes.
- Respiratory Physiological Phenomena.
- Decision Making, Computer-Assisted.
- Quality of Health Care.
- Public Health.
- Investigative Techniques.
- Analytical, Diagnostic and Therapeutic Techniques and Equipment.
- Medical Informatics Applications.
- Medical Informatics.
- Circulatory and Respiratory Physiological Phenomena.
- Environment and Public Health.
- Health Care Quality, Access, and Evaluation.
- Delivery of Health Care.
- Information Science.
- Four-Dimensional Computed Tomography.
- Radiotherapy Planning, Computer-Assisted.
- Sensitivity and Specificity.
- Respiratory Mechanics.
- Image Interpretation, Computer-Assisted.
- Lung Volume Measurements.
- Patient Care.
- diagnosis.
- public health.
- motion.
- statistics.
- treating (health care function).
- Medical Subjects:
- Respiration.
- Tomography, X-Ray Computed.
- Statistics as Topic.
- Epidemiologic Research Design.
- Diagnosis, Computer-Assisted.
- Diagnostic Imaging.
- Therapy, Computer-Assisted.
- Mathematical Concepts.
- Radiotherapy, Computer-Assisted.
- Imaging, Three-Dimensional.
- Physical Phenomena.
- Epidemiologic Methods.
- Health Care Evaluation Mechanisms.
- Diagnosis.
- Radiographic Image Enhancement.
- Diagnostic Techniques and Procedures.
- Tomography, X-Ray.
- Phenomena and Processes.
- Respiratory Physiological Phenomena.
- Therapeutics.
- Decision Making, Computer-Assisted.
- Radiography.
- Tomography.
- Quality of Health Care.
- Public Health.
- Investigative Techniques.
- Analytical, Diagnostic and Therapeutic Techniques and Equipment.
- Medical Informatics Applications.
- Medical Informatics.
- Circulatory and Respiratory Physiological Phenomena.
- Environment and Public Health.
- Health Care Quality, Access, and Evaluation.
- Delivery of Health Care.
- Information Science.
- Four-Dimensional Computed Tomography.
- Radiotherapy Planning, Computer-Assisted.
- Sensitivity and Specificity.
- Motion.
- Respiratory Mechanics.
- Image Interpretation, Computer-Assisted.
- Lung Volume Measurements.
- Patient Care.
- Physical Description:
- 1 online resource
- Place of Publication:
- Berlin New York Springer ©2013
- Language Note:
- English
- 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 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
- 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 [and others] Validation and Comparison of Approaches to Respiratory Motion Estimation Sven Kabus [and others] 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 [and others] 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
- Notes:
- Includes bibliographical references and index
- Other Format:
- Printed edition:
- ISBN:
- 9783642364419
- 3642364411
- 3642364403
- 9783642364402
- OCLC:
- 847630853
- Access Restriction:
- Restricted for use by site license
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