Biophysical Modeling of Respiratory Organ Motion
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Biophysical Modeling of Respiratory Organ Motion. / Werner, Rene.
4D Modeling and Estimation of Respiratory Motion for Radiation Therapy. ed. / Jan Ehrhardt; Cristian Lorenz. 1. ed. Springer, 2013. p. 61-84 (Biological and Medical Physics, Biomedical Engineering).Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review
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TY - CHAP
T1 - Biophysical Modeling of Respiratory Organ Motion
AU - Werner, Rene
PY - 2013
Y1 - 2013
N2 - Methods to estimate respiratory organ motion can be divided into two groups: biophysical modeling and image registration. In image registration, motion fields are directly extracted from 4D ( =3D+t) image sequences, often without concerning knowledge about anatomy and physiology in detail. In contrast, biophysical approaches aim at identification of anatomical and physiological aspects of breathing dynamics that are to be modeled. In the context of radiation therapy, biophysical modeling of respiratory organ motion commonly refers to the framework of continuum mechanics and elasticity theory, respectively. Underlying ideas and corresponding boundary value problems of those approaches are described in this chapter, along with a brief comparison to image registration-based motion field estimation.
AB - Methods to estimate respiratory organ motion can be divided into two groups: biophysical modeling and image registration. In image registration, motion fields are directly extracted from 4D ( =3D+t) image sequences, often without concerning knowledge about anatomy and physiology in detail. In contrast, biophysical approaches aim at identification of anatomical and physiological aspects of breathing dynamics that are to be modeled. In the context of radiation therapy, biophysical modeling of respiratory organ motion commonly refers to the framework of continuum mechanics and elasticity theory, respectively. Underlying ideas and corresponding boundary value problems of those approaches are described in this chapter, along with a brief comparison to image registration-based motion field estimation.
U2 - 10.1007/978-3-642-36441-9_4
DO - 10.1007/978-3-642-36441-9_4
M3 - SCORING: Contribution to collected editions/anthologies
SN - 978-3-642-36440-2
T3 - Biological and Medical Physics, Biomedical Engineering
SP - 61
EP - 84
BT - 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy
A2 - Ehrhardt, Jan
A2 - Lorenz, Cristian
PB - Springer
ER -