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Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information
Joint Authors
Cao, Kunlin
Reinhardt, Joseph M.
Ding, Kai
Christensen, Gary E.
Source
International Journal of Biomedical Imaging
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-28
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Accurate pulmonary image registration is a challenging problem when the lungs have a deformation with large distance.
In this work, we present a nonrigid volumetric registration algorithm to track lung motion between a pair of intrasubject CT images acquired at different inflation levels and introduce a new vesselness similarity cost that improves intensity-only registration.
Volumetric CT datasets from six human subjects were used in this study.
The performance of four intensity-only registration algorithms was compared with and without adding the vesselness similarity cost function.
Matching accuracy was evaluated using landmarks, vessel tree, and fissure planes.
The Jacobian determinant of the transformation was used to reveal the deformation pattern of local parenchymal tissue.
The average matching error for intensity-only registration methods was on the order of 1 mm at landmarks and 1.5 mm on fissure planes.
After adding the vesselness preserving cost function, the landmark and fissure positioning errors decreased approximately by 25% and 30%, respectively.
The vesselness cost function effectively helped improve the registration accuracy in regions near thoracic cage and near the diaphragm for all the intensity-only registration algorithms tested and also helped produce more consistent and more reliable patterns of regional tissue deformation.
American Psychological Association (APA)
Cao, Kunlin& Ding, Kai& Reinhardt, Joseph M.& Christensen, Gary E.. 2012. Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information. International Journal of Biomedical Imaging،Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-460345
Modern Language Association (MLA)
Cao, Kunlin…[et al.]. Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information. International Journal of Biomedical Imaging No. 2012 (2012), pp.1-17.
https://search.emarefa.net/detail/BIM-460345
American Medical Association (AMA)
Cao, Kunlin& Ding, Kai& Reinhardt, Joseph M.& Christensen, Gary E.. Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information. International Journal of Biomedical Imaging. 2012. Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-460345
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460345