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Proceedings Paper

Modeling lung motion using consistent image registration in four-dimensional computed tomography for radiation therapy
Author(s): Wei Lu; Joo Hyun Song; Gary E. Christensen; Parag J. Parikh; Jeffrey D. Bradley; Daniel A. Low
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Paper 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.

Paper Details

Date Published: 10 March 2006
PDF: 8 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61442L (10 March 2006); doi: 10.1117/12.652761
Show Author Affiliations
Wei Lu, Washington Univ. School of Medicine, St. Louis (United States)
Joo Hyun Song, Univ. of Iowa (United States)
Gary E. Christensen, Univ. of Iowa (United States)
Parag J. Parikh, Washington Univ. School of Medicine, St. Louis (United States)
Jeffrey D. Bradley, Washington Univ. School of Medicine, St. Louis (United States)
Daniel A. Low, Washington Univ. School of Medicine, St. Louis (United States)


Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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