Cargando…

A Joint-Parameter Estimation and Bayesian Reconstruction Approach to Low-Dose CT †

Most penalized maximum likelihood methods for tomographic image reconstruction based on Bayes’ law include a freely adjustable hyperparameter to balance the data fidelity term and the prior/penalty term for a specific noise–resolution tradeoff. The hyperparameter is determined empirically via a tria...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gao, Yongfeng, Lu, Siming, Shi, Yongyi, Chang, Shaojie, Zhang, Hao, Hou, Wei, Li, Lihong, Liang, Zhengrong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921255/ https://www.ncbi.nlm.nih.gov/pubmed/36772417 http://dx.doi.org/10.3390/s23031374

Ejemplares similares

Bayesian inference: parameter estimation and decisions
por: Harney, Hanns L
Publicado: (2003)

Bayesian spectrum analysis and parameter estimation
por: Bre3rdorst, G Larry
Publicado: (1988)

A Model of Regularization Parameter Determination in Low-Dose X-Ray CT Reconstruction Based on Dictionary Learning
por: Zhang, Cheng, et al.
Publicado: (2015)

Energy enhanced tissue texture in spectral computed tomography for lesion classification
por: Gao, Yongfeng, et al.
Publicado: (2019)

Ultra Low Dose CT Pulmonary Angiography with Iterative Reconstruction
por: Sauter, Andreas, et al.
Publicado: (2016)

Bayesian Reconstruction Algorithms for Low-Dose Computed Tomography Are Not Yet Suitable in Clinical Context
por: Kniep, Inga, et al.
Publicado: (2023)

Bayesian parameter estimation for nonlinear modelling of biological pathways
por: Ghasemi, Omid, et al.
Publicado: (2011)

A Bayesian Framework for Parameter Estimation in Dynamical Models
por: Coelho, Flávio Codeço, et al.
Publicado: (2011)

Bayesian bounds: for parameter estimation and nonlinear filtering/tracking
por: Van Trees, Harry L, et al.
Publicado: (2007)

Bayesian parameter estimation for dynamical models in systems biology
por: Linden, Nathaniel J., et al.
Publicado: (2022)

Joint Lung CT Image Segmentation: A Hierarchical Bayesian Approach
por: Cheng, Wenjun, et al.
Publicado: (2016)

Deep learning based low-dose synchrotron radiation CT reconstruction
por: Li, Ling
Publicado: (2021)

Bilateral Weighted Relative Total Variation for Low-Dose CT Reconstruction
por: He, Yuanwei, et al.
Publicado: (2022)

Trainable joint bilateral filters for enhanced prediction stability in low-dose CT
por: Wagner, Fabian, et al.
Publicado: (2022)

Image Quality and Patient-Specific Organ Doses in Stone Protocol CT: A Comparison of Traditional CT to Low Dose CT with Iterative Reconstruction
por: Pai, Raghav, et al.
Publicado: (2018)

75% radiation dose reduction using deep learning reconstruction on low-dose chest CT
por: Jo, Gyeong Deok, et al.
Publicado: (2023)

Fast Bayesian parameter estimation for stochastic logistic growth models
por: Heydari, Jonathan, et al.
Publicado: (2014)

Variational Bayesian Parameter Estimation Techniques for the General Linear Model
por: Starke, Ludger, et al.
Publicado: (2017)

A Bayesian Approach to the Estimation of Parameters and Their Interdependencies in Environmental Modeling †
por: Albert, Christopher G., et al.
Publicado: (2022)

Correction: Bayesian parameter estimation for dynamical models in systems biology
por: Linden, Nathaniel J., et al.
Publicado: (2023)

Tensor framelet based iterative image reconstruction algorithm for low-dose multislice helical CT
por: Nam, Haewon, et al.
Publicado: (2019)

Application of deep learning reconstruction of ultra-low-dose abdominal CT in the diagnosis of renal calculi
por: Zhang, Xiaoxiao, et al.
Publicado: (2022)

Low-dose CT with adaptive statistical iterative reconstruction for evaluation of urinary stone
por: Li, Xiaohu, et al.
Publicado: (2018)

Whole-Organ CT Perfusion of the Pancreas: Impact of Iterative Reconstruction on Image Quality, Perfusion Parameters and Radiation Dose in 256-Slice CT-Preliminary Findings
por: Xie, Qian, et al.
Publicado: (2013)

Iterative Image Reconstruction for Sparse-View CT Using Normal-Dose Image Induced Total Variation Prior
por: Huang, Jing, et al.
Publicado: (2013)

Low-Dose Chest CT Protocols for Imaging COVID-19 Pneumonia: Technique Parameters and Radiation Dose
por: Suliman, Ibrahim I., et al.
Publicado: (2023)

A Web-Based System for Bayesian Benchmark Dose Estimation
por: Shao, Kan, et al.
Publicado: (2018)

Evaluation of a Bayesian penalized likelihood reconstruction algorithm for low-count clinical (18)F-FDG PET/CT
por: te Riet, Joost, et al.
Publicado: (2019)

Field Map Reconstruction in Magnetic Resonance Imaging Using Bayesian Estimation
por: Baselice, Fabio, et al.
Publicado: (2009)

Bayesian Parameter Estimation and Segmentation in the Multi-Atlas Random Orbit Model
por: Tang, Xiaoying, et al.
Publicado: (2013)

Bayesian data integration for quantifying the contribution of diverse measurements to parameter estimates
por: Thijssen, Bram, et al.
Publicado: (2018)

Constrained Adjusted Maximum a Posteriori Estimation of Bayesian Network Parameters
por: Di, Ruohai, et al.
Publicado: (2021)

Estimation of Parameters and Pooling in Nonlinear Flooding Event Scenarios with Bayesian Model
por: Alduais, Fuad S., et al.
Publicado: (2022)

Estimation of Diastolic Filling Pressure with Cardiac CT in Comparison with Echocardiography Using Tissue Doppler Imaging: Determination of Optimal CT Reconstruction Parameters
por: Hwang, Ji-Sun, et al.
Publicado: (2017)

Ultra-low-dose CT reconstructed with the artificial intelligence iterative reconstruction algorithm (AIIR) in (18)F-FDG total-body PET/CT examination: a preliminary study
por: Hu, Yan, et al.
Publicado: (2023)

Image quality improvement in low‐dose chest CT with deep learning image reconstruction
por: Tian, Qian, et al.
Publicado: (2022)

2-D Joint Sparse Reconstruction and Micro-Motion Parameter Estimation for Ballistic Target Based on Compressive Sensing
por: Wei, Jiaqi, et al.
Publicado: (2020)

Radiation dosimetry of 18F-FDG PET/CT: incorporating exam-specific parameters in dose estimates
por: Quinn, Brian, et al.
Publicado: (2016)

Size specific dose estimate (SSDE) for estimating patient dose from CT used in myocardial perfusion SPECT/CT
por: Rajaraman, Vishnukumar, et al.
Publicado: (2020)

Numerical methods for CT reconstruction with unknown geometry parameters
por: Meng, Chang, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_d1083b0cph4g379jtv2d98coki