2024
Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision
Xie H, Guo L, Velo A, Liu Z, Liu Q, Guo X, Zhou B, Chen X, Tsai Y, Miao T, Xia M, Liu Y, Armstrong I, Wang G, Carson R, Sinusas A, Liu C. Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision. Medical Image Analysis 2024, 100: 103391. PMID: 39579623, DOI: 10.1016/j.media.2024.103391.Peer-Reviewed Original ResearchImage denoisingPositron range correctionDynamic framesSelf-supervised methodsSuperior visual qualityLow signal-to-noise ratioCardiac PET imagingDenoising methodSignal-to-noise ratioSelf-supervisionVisual qualityHigh-energy positronsRange correctionsDenoisingNoise levelImage spatial resolutionImage qualityDefect contrastPET imagingImage quantificationRadioactive isotopesPatient scansQuantitative accuracyImagesFrame
2011
SEGMENTATION OF 3D RF ECHOCARDIOGRAPHY USING A JOINT SPATIO-TEMPORAL PREDICTOR AND SIGNAL INTENSITY MODEL
Pearlman P, Tagare H, Lin B, Sinusas A, Duncan J. SEGMENTATION OF 3D RF ECHOCARDIOGRAPHY USING A JOINT SPATIO-TEMPORAL PREDICTOR AND SIGNAL INTENSITY MODEL. 2011, 649-652. DOI: 10.1109/isbi.2011.5872490.Peer-Reviewed Original ResearchSpatio-temporal predictorsLeft ventricular segmentationSpatio-temporal coherenceSegmentation problemImage sequencesSubsequent framesVentricular segmentationSegmentationUltrasound sequencesVoxel intensitiesManual tracingLinear predictorLevel setsSpatial modelConditional modelInhomogeneity issuesFrameIntensity modelModelSet