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10 March 2006 Modeling lung motion using consistent image registration in four-dimensional computed tomography for radiation therapy
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Abstract
Respiratory motion is a significant source of error in conformal radiation therapy for the thorax and upper abdomen. Four-dimensional computed tomography (4D CT) has been proposed to reduce the uncertainty caused by internal respiratory organ motion. A 4D CT dataset is retrospectively reconstructed at various stages of a respiratory cycle. An important tool for 4D treatment planning is deformable image registration. An inverse consistent image registration is used to model lung motion from one respiratory stage to another during a breathing cycle. This diffeomorphic registration jointly estimates the forward and reverse transformations providing more accurate correspondence between two images. Registration results and modeled motions in the lung are shown for three example respiratory stages. The results demonstrate that the consistent image registration satisfactorily models the large motions in the lung, providing a useful tool for 4D planning and delivering.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Lu, Joo Hyun Song, Gary E. Christensen, Parag J. Parikh, Jeffrey D. Bradley, and Daniel A. Low "Modeling lung motion using consistent image registration in four-dimensional computed tomography for radiation therapy", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61442L (10 March 2006); https://doi.org/10.1117/12.652761
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