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Hierarchical Bayesian myocardial perfusion quantification

Cian M. Scannell, Amedeo Chiribiri, Adriana D.M. Villaa, Marcel Breeuwer, Jack Lee
2019 Medical Image Analysis  
We provide both a theoretical introduction to Bayesian inference for tracer-kinetic modelling and specific implementation details for this application.  ...  Myocardial blood flow can be quantified from dynamic contrast-enhanced magnetic resonance (MR) images through the fitting of tracer-kinetic models to the observed imaging data.  ...  In general, the posterior distribution is not analytically tractable and must be approximated using Markov chain Monte Carlo (MCMC) sampling.  ... 
doi:10.1016/j.media.2019.101611 pmid:31760191 fatcat:uohszesulfbobelljjqs7vmm4m

Bayesian intravoxel incoherent motion parameter mapping in the human heart

Georg R. Spinner, Constantin von Deuster, Kerem C. Tezcan, Christian T. Stoeck, Sebastian Kozerke
2017 Journal of Cardiovascular Magnetic Resonance  
IVIM parameter mapping holds promise for myocardial perfusion measurements without the need for contrast agents.  ...  Methods: A second-order motion-compensated diffusion weighted spin-echo sequence with navigator-based slice tracking was implemented to collect cardiac IVIM data in early systole in eight healthy subjects  ...  Sudhir Shankar Raman (Translational Neuromodeling Unit, University and ETH Zurich) for his help and advice on Bayesian statistics.  ... 
doi:10.1186/s12968-017-0391-1 pmid:29110717 pmcid:PMC5770136 fatcat:kntbgddaonhlvjcdfymq5gfl7i

A graph-based approach for automatic cardiac tractography

Carole Frindel, Marc Robini, Joël Schaerer, Pierre Croisille, Yue-Min Zhu
2010 Magnetic Resonance in Medicine  
The global nature of our tractography method reduces sensitivity to noise and modeling errors.  ...  A new automatic algorithm for assessing fiber-bundle organization in the human heart using diffusion-tensor magnetic resonance imaging is presented.  ...  In Ref. 6 , the distribution is predicted using simulations, in Ref. 5 , it is estimated using Monte Carlo Markov Chain methods, and direct Bayesian inference is used in Ref. 7 to characterize the  ... 
doi:10.1002/mrm.22443 pmid:20665895 fatcat:4ie2hvwqijhsjgux7gysp5xd2u

Keyword Index

2020 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)  
Chain Model 788 matche Wilkinson combiner 436 Material Constant 557 Mathematical Model 711 mathematical modeling 1 MATLAB 141 Matlab Simulink 738 MAX30100 1123 maximum power tracking  ...  136 Blockchain 1218 blockchain 561 Blocking Approach 254 Bluetooth 721 Bluetooth Low Energy 721 Board Learning System 1059 Body Area Networks (WBANs) 963 book call number 759 border  ... 
doi:10.1109/icecce49384.2020.9179372 fatcat:vqx7xk7hcrabxhg75tifg76d2e

Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach

Azar Rahimi, John Sapp, Jingjia Xu, Peter Bajorski, Milan Horacek, Linwei Wang
2016 IEEE Transactions on Medical Imaging  
To examine how different combinations of models may be favored by different measurement data, the posterior distribution of cardiac sources and hyperparameter p is calculated using a Markov Chain Monte  ...  Carlo (MCMC) technique.  ...  The posterior distribution of cardiac sources and hyperparameter p is calculated using a Markov Chain Monte Carlo (MCMC) technique.  ... 
doi:10.1109/tmi.2015.2464315 pmid:26259018 pmcid:PMC4703535 fatcat:san433tuxzhklbf5zcturr4zey

A sequential distance-based approach for imputing missing data: Forward Imputation

Nadia Solaro, Alessandro Barbiero, Giancarlo Manzi, Pier Alda Ferrari
2016 Advances in Data Analysis and Classification  
Chain Monte Carlo.  ...  The idea of using data augmentation is exploited to derive efficient Markov chain Monte Carlo methods.  ... 
doi:10.1007/s11634-016-0243-0 fatcat:yvrqlgllsbesbnvnzzci2egpl4

Ultrasound image segmentation: a survey

J.A. Noble, D. Boukerroui
2006 IEEE Transactions on Medical Imaging  
This paper reviews ultrasound segmentation methods, in a broad sense, focusing on techniques developed for medical -mode ultrasound images.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their thoughtful suggestions on how best to present this review, and the authors (too many to name in person) who kindly provided  ...  [138] presented a fully Bayesian analysis of space time process of IVUS image based on deformable template models and Markov Chain Monte Carlo (MCMC) simulation.  ... 
doi:10.1109/tmi.2006.877092 pmid:16894993 fatcat:wtt6igy2ozhjtbnsizi6qtosn4

Polymeric endovascular strut and lumen detection algorithm for intracoronary optical coherence tomography images

Junedh M. Amrute, Lambros S. Athanasiou, Farhad Rikhtegar, José M. de la Torre Hernández, Tamara García Camarero, Elazer R. Edelman
2018 Journal of Biomedical Optics  
Therefore, it is necessary to develop an automated method to detect polymeric struts and luminal borders in OCT images; we present such a fully automated algorithm.  ...  The proposed algorithm allows for rapid, accurate, and automated detection of polymeric struts and the luminal border in OCT images.  ...  k -; e 0 0 7 ; 6 3 ; 1 3 5 Pðm; c; σÞ ∝ 1 σ : (7) Combining the above expressions, we use Markov Chain Monte Carlo (MCMC) to sample from the posterior distribution Pðm; c; σjDÞ to find the optimal parameter  ... 
doi:10.1117/1.jbo.23.3.036010 pmid:29560624 fatcat:gipofeqyibaxdfhrvcfpklgkz4

CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data [article]

Vikash Mansinghka, Patrick Shafto, Eric Jonas, Cap Petschulat, Max Gasner, Joshua B. Tenenbaum
2015 arXiv   pre-print
There is a widespread need for statistical methods that can analyze high-dimensional datasets with- out imposing restrictive or opaque modeling assumptions.  ...  This paper describes a domain-general data analysis method called CrossCat.  ...  Figure 5a shows the evolution of Monte Carlo dependence probability estimates as a function of the number of Markov chain iterations.  ... 
arXiv:1512.01272v1 fatcat:a4mut4sw4bawjftjbhtignmc2q

A review of segmentation methods in short axis cardiac MR images

Caroline Petitjean, Jean-Nicolas Dacher
2011 Medical Image Analysis  
We thus propose an original categorization for cardiac segmentation methods, with a special emphasis on what level of external information is required (weak or strong) and how it is used to constrain segmentation  ...  For the last 15 years, Magnetic Resonance Imaging (MRI) has become a reference examination for cardiac morphology, function and perfusion in humans.  ...  Segmentation is performed with Monte-Carlo techniques or particle filtering.  ... 
doi:10.1016/j.media.2010.12.004 pmid:21216179 fatcat:fe6guru7ajb3dlmg2himj4zi3a

Peripheral immunophenotypes in children with multisystem inflammatory syndrome associated with SARS-CoV-2 infection

Michael J. Carter, Matthew Fish, Aislinn Jennings, Katie J. Doores, Paul Wellman, Jeffrey Seow, Sam Acors, Carl Graham, Emma Timms, Julia Kenny, Stuart Neil, Michael H. Malim (+2 others)
2020 Nature Medicine  
illness within 72 h of admission), resolution (n = 14; clinical improvement) and convalescent (n = 10; first outpatient visit) phases of the illness and used samples from seven age-matched healthy controls for  ...  Give P values as exact values whenever suitable.For Bayesian analysis, informa�on on the choice of priors and Markov chain Monte Carlo se�ngs For hierarchical and complex designs, iden�fica�on of the appropriate  ...  Reporting for specific materials, systems and methods We require information from authors about some types of materials, experimental systems and methods used in many studies.  ... 
doi:10.1038/s41591-020-1054-6 pmid:32812012 fatcat:okwynmybsfa3biiwt5zmkwgh7i

Perlin Noise Generation of Physiologically Realistic Patterns of Fibrosis [article]

David Jakes, Kevin Burrage, Christopher C. Drovandi, Pamela Burrage, Alfonso Bueno-Orovio, Rodrigo W. dos Santos, Blanca Rodriguez, Brodie A J Lawson
2019 bioRxiv   pre-print
Our generator and automated tuning method prove flexible enough to capture each of these very distinct patterns, allowing for rapid generation of new realisations for high-throughput computational studies  ...  Variability in an individual's manifestation of a type of fibrosis is an important factor in explaining differences in symptoms, optimum treatment and prognosis, but a need for ex vivo procedures and a  ...  Acknowledgements and Funding The authors would also like to acknowledge Queensland University of Technology's eResearch Office, for their assistance with the installation of Chaste on high power computing  ... 
doi:10.1101/668848 fatcat:zo2ijqv4dzc3vh6gebzqo46z5a

Power pulsing of the CALICE tile hadron calorimeter

Mathias Reinecke
2016 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)  
For example, we now know that neutrinos have a mass, providing clear evidence for physics beyond the our current understanding.  ...  This achievement was recognised through the award of the 2015 Nobel prize for physics to the leaders of the SNO and Super-Kamiokande experiments for the conclusive establishment of the phenomenon of neutrino  ...  M04D-15: Monte Carlo Simulation of DNA Damage Clustering Induced by a 24 MeV Proton Beam The authors want to thank Professor Lars R.  ... 
doi:10.1109/nssmic.2016.8069748 fatcat:zjgd7dmfdbhntb4kfwdtrlejhi

Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211

Mathieu Hatt, John A. Lee, Charles R. Schmidtlein, Issam El Naqa, Curtis Caldwell, Elisabetta De Bernardi, Wei Lu, Shiva Das, Xavier Geets, Vincent Gregoire, Robert Jeraj, Michael P. MacManus (+9 others)
2017 Medical Physics (Lancaster)  
Large variations in the evaluation methods used in the literature point to the need for a standardized evaluation protocol.  ...  However, this may not be the case for simple shape lesions in situations with a narrower range of parameters, where simpler methods may also perform well.  ...  Nelson (MiM Software, Cleveland, OH), for his contribution as a consultant (industry observer) and the very helpful staff of the American Association of Physicists in Medicine for providing support to  ... 
doi:10.1002/mp.12124 pmid:28120467 pmcid:PMC5902038 fatcat:52zpsobohvfehp2obkwfzt4cay

Effect of MR contrast agents on quantitative accuracy of PET in combined whole-body PET/MR imaging

Cristina Lois, Ilja Bezrukov, Holger Schmidt, Nina Schwenzer, Matthias K. Werner, Jürgen Kupferschläger, Thomas Beyer
2012 European Journal of Nuclear Medicine and Molecular Imaging  
Monte Carlo simulation applications.  ...  : Monte Carlo Simulation Study Using Voxelized Phantom S.  ...  MIC18.M-148 Anatomical Markov Prior-based Multimodality Image Registration K. Vunckx, F. Maes, J. Nuyts, K.U.  ... 
doi:10.1007/s00259-012-2190-0 pmid:22890801 fatcat:gaikvxa6hrc2xobeyxp7gyu3ha
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