Cargando…

A Bayesian approach to tissue-fraction estimation for oncological PET segmentation

Tumor segmentation in oncological PET is challenging, a major reason being the partial-volume effects (PVEs) that arise due to low system resolution and finite voxel size. The latter results in tissue-fraction effects (TFEs), i.e. voxels contain a mixture of tissue classes. Conventional segmentation...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Ziping, Mhlanga, Joyce C, Laforest, Richard, Derenoncourt, Paul-Robert, Siegel, Barry A, Jha, Abhinav K
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765116/ https://www.ncbi.nlm.nih.gov/pubmed/34125078 http://dx.doi.org/10.1088/1361-6560/ac01f4

Ejemplares similares

Observer-study-based approaches to quantitatively evaluate the realism of synthetic medical images
por: Liu, Ziping, et al.
Publicado: (2023)

Bayesian Estimation of the ntPET Model in Single-Scan Competition PET Studies
por: Irace, Zacharie, et al.
Publicado: (2020)

Impact of Dedicated Brain PET on Intended Patient Management in Participants of the National Oncologic PET Registry
por: Hillner, Bruce E., et al.
Publicado: (2010)

Bayesian approaches in oncology using R and OpenBUGS
por: Bhattacharjee, Atanu
Publicado: (2020)

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

Effective dose estimation for oncological and neurological PET/CT procedures
por: Martí-Climent, Josep M., et al.
Publicado: (2017)

A LIST-MODE OSEM-BASED ATTENUATION AND SCATTER COMPENSATION METHOD FOR SPECT
por: Rahman, Md Ashequr, et al.
Publicado: (2020)

PET-Oncology
Publicado: (2013)

Rapid Whole-Body FDG PET/MRI in Oncology Patients: Utility of Combining Bayesian Penalised Likelihood PET Reconstruction and Abbreviated MRI
por: Inukai, Junko Inoue, et al.
Publicado: (2023)

A comparison of the Bayesian and frequentist approaches to estimation
por: Samaniego, Francisco J
Publicado: (2010)

Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation
por: Mojiri Forooshani, Parisa, et al.
Publicado: (2022)

A Bayesian mixed modeling approach for estimating heritability
por: Nustad, Haakon E., et al.
Publicado: (2018)

PET Non-Oncology
Publicado: (2013)

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

First-in-Man Evaluation of (124)I-PGN650: A PET Tracer for Detecting Phosphatidylserine as a Biomarker of the Solid Tumor Microenvironment
por: Laforest, Richard, et al.
Publicado: (2017)

Quantitative approaches of dynamic FDG-PET and PET/CT studies (dPET/CT) for the evaluation of oncological patients
por: Dimitrakopoulou-Strauss, Antonia, et al.
Publicado: (2012)

Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach
por: Gao, Yangmingrui, et al.
Publicado: (2023)

Finding Clocks in Genes: A Bayesian Approach to Estimate Periodicity
por: Ren, Yan, et al.
Publicado: (2016)

Estimating underreporting of leprosy in Brazil using a Bayesian approach
por: de Oliveira, Guilherme L., et al.
Publicado: (2021)

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

Bayesian Adaptive Estimation with Theoretical Bound: An Exploration-Exploitation Approach
por: Li, Mingyao, et al.
Publicado: (2022)

Atlas of Clinical PET in Oncology
por: Price, P
Publicado: (2000)

Multiparametric PET/CT in oncology
por: Singh, Dalveer, et al.
Publicado: (2012)

PET/CT and PET/MRI in ophthalmic oncology (Review)
por: Kalemaki, Maria S., et al.
Publicado: (2020)

Fractional calculus in mathematical oncology
por: Alinei-Poiana, Tudor, et al.
Publicado: (2023)

Estimating genealogies from linked marker data: a Bayesian approach
por: Gasbarra, Dario, et al.
Publicado: (2007)

Amount of Escape Estimation Based on Bayesian and MCMC Approaches for RNA Interference
por: Liu, Tian, et al.
Publicado: (2019)

Estimating hunting harvest from partial reporting: a Bayesian approach
por: Lindström, Tom, et al.
Publicado: (2020)

An automatic pipeline for PET/MRI attenuation correction validation in the brain
por: Hamdi, Mahdjoub, et al.
Publicado: (2023)

An automatic pipeline for PET/MRI attenuation correction validation in the brain
por: Hamdi, Mahdjoub, et al.
Publicado: (2023)

Small lesion depiction and quantification accuracy of oncological (18)F-FDG PET/CT with small voxel and Bayesian penalized likelihood reconstruction
por: Xu, Lei, et al.
Publicado: (2022)

Bayesian estimates of linkage disequilibrium
por: Sebastiani, Paola, et al.
Publicado: (2007)

Current status of Bayesian clinical trials for oncology, 2020
por: Fors, Martha, et al.
Publicado: (2020)

A Bayesian approach to determine the composition of heterogeneous cancer tissue
por: Katiyar, Ashish, et al.
Publicado: (2018)

Automated parameter estimation for biological models using Bayesian statistical model checking
por: Hussain, Faraz, et al.
Publicado: (2015)

Bayesian estimation and tracking : a practical guide
por: Haug, Anton J., 1941-
Publicado: (2012)

PET-CT imaging in pediatric oncology
por: McCarville, M. Beth
Publicado: (2009)

Fundamentals of Oncologic PET-CT Reporting
por: Bijan, Bijan, et al.
Publicado: (2013)

Positron Emission Tomography (PET) in Oncology
por: Gallamini, Andrea, et al.
Publicado: (2014)

Insight into the Development of PET Radiopharmaceuticals for Oncology
por: Lau, Joseph, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_omjq8in6g8ca3h0mie6g6oa8h4