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Reconstruction of 4D deformed CT for moving anatomy

Authors :
Docef, Alen
Murphy, Martin
Source :
International Journal of Computer Assisted Radiology and Surgery; 20240101, Issue: Preprints p1-8, 8p
Publication Year :
2024

Abstract

Abstract: Purpose: To develop a 4DCT reconstruction technique that improves time resolution when the anatomy moves with respiration. Method: A cone-beam CT (CBCT) scan is performed and a breathing signal is acquired. At the same time a set of simulated CBCT projections is created from a prior source CT deformed by a time-dependent parametric deformation model. The model parameters are iteratively adjusted until the simulated projections optimally resemble the acquired images. This concept was tested with three different simulated deformation scenarios approximating a moving lung tumor with rigid and elastic deformation and a 3D anatomical expansion/contraction. Results: The known deformation was accurately reconstructed in all three scenarios. The method is reasonably robust to noise and contrast mismatch in the projections Conclusion: Matching simulated to actual CBCT projections can adequately constrain a 4D model of breathing-induced motion that occurs during acquisition of the CBCT data.

Details

Language :
English
ISSN :
18616410 and 18616429
Issue :
Preprints
Database :
Supplemental Index
Journal :
International Journal of Computer Assisted Radiology and Surgery
Publication Type :
Periodical
Accession number :
ejs17141014
Full Text :
https://doi.org/10.1007/s11548-008-0266-x