Conference proceeding
Modeling lung motion using consistent image registration in four-dimensional computed tomography for radiation therapy
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.6144, pp.61442L-61442L-8
03/08/2006
DOI: 10.1117/12.652761
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.
Details
- Title: Subtitle
- Modeling lung motion using consistent image registration in four-dimensional computed tomography for radiation therapy
- Creators
- Wei Lu - Washington University in St. LouisJoo Hyun Song - University of IowaGary E Christensen - University of IowaParag J Parikh - Washington University in St. LouisJeffrey D Bradley - Washington University in St. LouisDaniel A Low - Washington University in St. Louis
- Resource Type
- Conference proceeding
- Publication Details
- Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.6144, pp.61442L-61442L-8
- Publisher
- SPIE
- DOI
- 10.1117/12.652761
- ISSN
- 1605-7422
- Language
- English
- Date published
- 03/08/2006
- Academic Unit
- Electrical and Computer Engineering; Radiation Oncology; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center
- Record Identifier
- 9984197531502771
Metrics
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