2019
A robust segmentation method with triple‐factor non‐negative matrix factorization for myocardial blood flow quantification from dynamic 82Rb positron emission tomography
Liu H, Wu J, Sun J, Wu T, Fazzone‐Chettiar R, Thorn S, Sinusas AJ, Liu Y. A robust segmentation method with triple‐factor non‐negative matrix factorization for myocardial blood flow quantification from dynamic 82Rb positron emission tomography. Medical Physics 2019, 46: 5002-5013. PMID: 31444909, DOI: 10.1002/mp.13783.Peer-Reviewed Original Research
2016
T1-refBlochi: high resolution 3D post-contrast T1 myocardial mapping based on a single 3D late gadolinium enhancement volume, Bloch equations, and a reference T1
Hu C, Sinusas AJ, Huber S, Thorn S, Stacy MR, Mojibian H, Peters DC. T1-refBlochi: high resolution 3D post-contrast T1 myocardial mapping based on a single 3D late gadolinium enhancement volume, Bloch equations, and a reference T1. Journal Of Cardiovascular Magnetic Resonance 2016, 19: 63. PMID: 28821300, PMCID: PMC5563030, DOI: 10.1186/s12968-017-0375-1.Peer-Reviewed Original ResearchAlgorithmsAnimalsCardiomyopathiesComputer SimulationContrast MediaFeasibility StudiesFemaleFibrosisHeart AtriaHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedModels, CardiovascularMonte Carlo MethodOrganometallic CompoundsPhantoms, ImagingPredictive Value of TestsReproducibility of ResultsSus scrofa