Uncertainty quantification of CT regularized reconstruction within the Bayesian framework

Uncertainty quantification of CT regularized reconstruction within the Bayesian framework

Computed Tomography (CT) reconstruction is an important inverse problem in industrial imaging, requiring robust methods to address different sources of error in the data and model. Among the various reconstruction approaches that tackle different challenges in CT modeling [1], such as limitations i...

Full description

Saved in:

Bibliographic Details
Main Authors:	Negin Khoeiniha, Patricio Guerrero, Wim Dewulf
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=30731
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification
by: Masoud Muhammed Hassan, et al.
Published: (2025-01-01)

A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins
by: Thi-Duyen Nguyen, et al.
Published: (2025-02-01)

Prediction of the SYM‐H Index Using a Bayesian Deep Learning Method With Uncertainty Quantification
by: Yasser Abduallah, et al.
Published: (2024-02-01)

Bayesian calibration and uncertainty quantification for a large nutrient load impact modelZenodoZenodoZenodo
by: Karel Kaurila, et al.
Published: (2025-03-01)

Bayesian Probabilistic Framework for Damage Identification of Steel Truss Bridges under Joint Uncertainties
by: Wei Zheng, et al.
Published: (2013-01-01)

Uncertainty Quantification for Machine Learning‐Based Ionosphere and Space Weather Forecasting: Ensemble, Bayesian Neural Network, and Quantile Gradient Boosting
by: Randa Natras, et al.
Published: (2023-10-01)

Sparse View CT Reconstruction Algorithm Based on Non-Local Generalized Total Variation Regularization
by: Min JIANG, et al.
Published: (2025-01-01)

Comment on “Prediction of the SYM‐H Index Using a Bayesian Deep Learning Method With Uncertainty Quantification” by Abduallah et al. (2024)
by: Armando Collado‐Villaverde, et al.
Published: (2024-08-01)

Parameter estimation and uncertainty quantification for an epidemic model
by: Alex Capaldi, et al.
Published: (2012-06-01)

Uncertainty quantification in modeling HIV viral mechanics
by: H. T. Banks, et al.
Published: (2015-05-01)

Robust Bayesian Regularized Estimation Based on t Regression Model
by: Zean Li, et al.
Published: (2015-01-01)

Accuracy of fast CT dimensional measurements: a case study on an additively manufactured metal part
by: Thiago Linhares Fernandes, et al.
Published: (2025-02-01)

Uncertainty Quantification of GEKO Model Coefficients on Compressible Flows
by: Yeong-Ki Jung, et al.
Published: (2021-01-01)

Uncertainty analysis of varying inertia estimation based on Bayesian method
by: Dongdong Li, et al.
Published: (2025-04-01)

Adaptive Bayesian Iterative Transmission Reconstruction for Attenuation Correction in Myocardial Perfusion Imaging with SPECT/Slow-Rotation Low-Output CT Systems
by: Ji Chen, et al.
Published: (2007-01-01)

Risk, Reliability, and Uncertainty Quantification of Structural Systems Subjected to Shock and Vibration
by: Aly Mousaad Aly, et al.
Published: (2018-01-01)

Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning
by: Sangwoo Park, et al.
Published: (2024-01-01)

Soft-Label Supervised Meta-Model with Adversarial Samples for Uncertainty Quantification
by: Kyle Lucke, et al.
Published: (2025-01-01)

Machine‐Learned HASDM Thermospheric Mass Density Model With Uncertainty Quantification
by: Richard J. Licata, et al.
Published: (2022-04-01)

A fuzzy logic approach within the DPSIR framework to address the inherent uncertainty and complexity of water security assessments
by: Liang Yuan, et al.
Published: (2025-01-01)

A Bayesian Inference-Based Method for Uncertainty Analysis in Raman Spectroscopy
by: Hanxuan Zhou
Published: (2025-01-01)

A Bayesian regularization intelligent computing scheme for the fractional dengue virus model
by: Manoj Gupta, et al.
Published: (2025-03-01)

Cylindrical Shell with Junctions: Uncertainty Quantification of Free Vibration and Frequency Response Analysis
by: Harri Hakula, et al.
Published: (2018-01-01)

Uncertainty Quantification for a Hydraulic Fracture Geometry: Application to Woodford Shale Data
by: Batoul M. Gisler
Published: (2021-01-01)

Uncertainty quantification in multi-parametric MRI-based meningioma radiotherapy target segmentation
by: Lana Wang, et al.
Published: (2025-01-01)

Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine
by: Kaan Sel, et al.
Published: (2025-01-01)

MSIS‐UQ: Calibrated and Enhanced NRLMSIS 2.0 Model With Uncertainty Quantification
by: Richard J. Licata, et al.
Published: (2022-11-01)

Bi-level Hybrid Uncertainty Quantification in Fatigue Analysis: S-N Curve Approach
by: Raphael Basilio Pires Nonato
Published: (2020-09-01)

Uncertainty Analysis of Multiple Hydrologic Models Using the Bayesian Model Averaging Method
by: Leihua Dong, et al.
Published: (2013-01-01)

Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines
by: Enamundram Naga Karthik, et al.
Published: (2024-01-01)

Differentiable Few-view CT-Reconstruction for Arbitrary CT-Trajectories including Prior Knowledge
by: Linda-Sophie Schneider, et al.
Published: (2025-02-01)

Exact Interior Reconstruction with Cone-Beam CT
by: Yangbo Ye, et al.
Published: (2007-01-01)

Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters
by: Fanuel, Ibrahim M., et al.
Published: (2023)

Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters
by: Ibrahim, M. Fanuel, et al.
Published: (2023)

Nuclear Data Uncertainty Quantification and Propagation for Safety Analysis of Lead-Cooled Fast Reactors
by: Ishita Trivedi, et al.
Published: (2020-01-01)

Uncertainty Quantification for the Transient Response of Human Equivalent Antenna Using the Stochastic Collocation Approach
by: Anna Šušnjara, et al.
Published: (2019-01-01)

Sensitivity analysis and uncertainty quantification of climate change effects on Tanzanian banana crop yield
by: Sabas Patrick, et al.
Published: (2025-03-01)

Uncertainty Quantification and Sensitivity Analysis of Concrete Structure Using Multi-Linear Regression Technique
by: Abdelhamid Hebbouche, et al.
Published: (2025-01-01)

Influence of Uncertainty of Soil Hydraulic Parameters on Stability of Unsaturated Slopes Based on Bayesian Updating
by: Hsin-Fu Yeh, et al.
Published: (2021-01-01)

Analysis of the Impact of U.S. Trade Policy Uncertainty on China Based on Bayesian VAR Model
by: Huan Yan, et al.
Published: (2022-01-01)