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Reconstruction of 4D deformed CT for moving anatomy
- 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