A shape-navigated image deformation model for 4d lung respiratory motion estimation Conference Paper


Authors: Liu, X.; Saboo, R. R.; Pizer, S. M.; Mageras, G. S.
Title: A shape-navigated image deformation model for 4d lung respiratory motion estimation
Conference Title: 2009 6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Abstract: Intensity modulated radiation therapy (IMRT) for cancers in the lung remains challenging due to the complicated respiratory dynamics. We propose a shape-navigated dense image deformation model to estimate the patient-specific breathing motion using 4D respiratory correlated CT (RCCT) images . The idea is to use the shape change of the lungs, the major motion feature in the thorax image, as a surrogate to predict the corresponding dense image deformation from training. To build the statistical model, dense diffeomorphic deformations between images of all other time points to the image at end expiration are calculated, and the shapes of the lungs are automatically extracted. By correlating the shape variation with the temporally corresponding image deformation variation, a linear mapping function that maps a shape change to its corresponding image deformation is calculated from the training sample. Finally, given an extracted shape from the image at an arbitrary time point, its dense image deformation can be predicted from the pre-computed statistics. The method is carried out on two patients and evaluated in terms of the tumor and lung estimation accuracies. The result shows robustness of the model and suggests its potential for 4D lung radiation treatment planning. © 2009 IEEE.
Keywords: radiotherapy; biological organs; intensity-modulated radiation therapy; statistical models; diffeomorphic image registration; respiratory motion model; statistical shape analysis; arbitrary time; breathing motions; diffeomorphic deformation; image deformation; image deformation model; linear mapping functions; motion features; radiation treatment planning; respiratory dynamics; respiratory motions; shape change; shape variations; time points; training sample; image registration; motion estimation; navigation; respiratory mechanics; deformation
Journal Title International Symposium on Biomedical Imaging. Proceedings
Conference Dates: 2009 Jun 28-Jul 1
Conference Location: Boston, MA
ISBN: 1945-7928
Publisher: IEEE  
Date Published: 2009-08-07
Start Page: 875
End Page: 878
Language: English
DOI: 10.1109/ISBI.2009.5193192
PROVIDER: scopus
PMCID: PMC2874900
PUBMED: 20502615
DOI/URL:
Notes: --- - "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009" - "Export Date: 30 November 2010" - "Art. No.: 5193192" - "Source: Scopus"
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  1. Gikas S Mageras
    271 Mageras