An Adaptive View Selection Algorithm for Large-scale Cone-Beam CT Reconstruction
Industrial cone-beam X-ray computed tomography (CT) produces 3D reconstructions of objects using projection measurements taken at multiple predetermined rotation angles around a single axis. Achieving high-quality reconstructions with traditional analytic reconstruction algorithms typically require...
Saved in:
Main Authors: | Jingsong Lin, Singanallur Venkatakrishnan, Obaidullah Rahman, Gregery T. Buzzard, Amirkoushyar Ziabari, Charles A. Bouman |
---|---|
Format: | Article |
Language: | deu |
Published: |
NDT.net
2025-02-01
|
Series: | e-Journal of Nondestructive Testing |
Online Access: | https://www.ndt.net/search/docs.php3?id=30740 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bone Densitometric Analysis using Cone Beam Computed Tomography (Cone Beam CT) and Computed Tomography (CT): Establishing the Correlation between Predicted and Actual Values
by: Rashmit Kumar, et al.
Published: (2025-01-01) -
Differentiable Few-view CT-Reconstruction for Arbitrary CT-Trajectories including Prior Knowledge
by: Linda-Sophie Schneider, et al.
Published: (2025-02-01) -
Proximal Neural Networks based reconstruction for few-view CT applications
by: Hoang Trieu Vy Le, et al.
Published: (2025-02-01) -
Accurate Reconstruction of Gas Turbine Blade Geometry Using 3D/2D Rigid-Registration and CT View Optimization
by: Hristo Valtchanov, et al.
Published: (2025-02-01) -
Uncertainty quantification of CT regularized reconstruction within the Bayesian framework
by: Negin Khoeiniha, et al.
Published: (2025-02-01)