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
2023
Transformer-Based Dual-Domain Network for Few-View Dedicated Cardiac SPECT Image Reconstructions
Xie H, Zhou B, Chen X, Guo X, Thorn S, Liu Y, Wang G, Sinusas A, Liu C. Transformer-Based Dual-Domain Network for Few-View Dedicated Cardiac SPECT Image Reconstructions. Lecture Notes In Computer Science 2023, 14229: 163-172. DOI: 10.1007/978-3-031-43999-5_16.Peer-Reviewed Original ResearchDual-domain networkSPECT image reconstructionImage reconstructionDeep learning methodsPrevious baseline methodsCardiac SPECT imagesHigh-quality imagesReconstruction networkIterative reconstruction processView reconstructionBaseline methodsReconstruction outputLearning methodsClinical softwareReconstruction processImaging problemsProjection dataImage qualityNetworkImagesStationary dataSPECT scannerDiagnosis of CVDLimited amountSoftware
2022
Potential Impact of SPECT Resolution on Quantification of Left Ventricular Volumes and Ejection Fraction: A Phantom Study
Liu H, Aslan M, Sandoval V, Liu Y. Potential Impact of SPECT Resolution on Quantification of Left Ventricular Volumes and Ejection Fraction: A Phantom Study. Journal Of Medical And Biological Engineering 2022, 42: 734-743. DOI: 10.1007/s40846-022-00747-y.Peer-Reviewed Original ResearchImage resolutionCurrent software toolsDifferent image resolutionsLow resolutionSoftware toolsEmory Cardiac ToolboxPartial volume effectsSoftwareQuantitative softwarePhantom volumeImagesAttenuation correctionSPECT resolutionDedicated cardiac SPECT cameraDual-head SPECTCameraHigh resolutionCardiac phantomQuantification softwareDeep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT
Sun J, Jiang H, Du Y, Li C, Wu T, Liu Y, Yang B, Mok G. Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT. Journal Of Nuclear Cardiology 2022, 30: 970-985. PMID: 35982208, DOI: 10.1007/s12350-022-03045-x.Peer-Reviewed Original ResearchConceptsConditional generative adversarial networkGenerative adversarial networkImage qualityAdversarial networkOS-EM methodList-mode dataXCAT phantomPost-reconstruction filteringImagesSPECT projectionsDenoisingMyocardial perfusion SPECTHigh noise levelsPerfusion SPECTFull doseSPECT/CT scansNetworkDifferent anatomical variationsMode dataFilteringMP-SPECTLD images
2016
SPECT Imaging of 2-D and 3-D Distributed Sources with Near-Field Coded Aperture Collimation: Computer Simulation and Real Data Validation
Mu Z, Dobrucki LW, Liu YH. SPECT Imaging of 2-D and 3-D Distributed Sources with Near-Field Coded Aperture Collimation: Computer Simulation and Real Data Validation. Journal Of Medical And Biological Engineering 2016, 36: 32-43. PMID: 27069461, PMCID: PMC4791458, DOI: 10.1007/s40846-016-0111-6.Peer-Reviewed Original ResearchMaximum likelihood expectation maximizationReconstruction approachImage resolutionLarge projection angleIterative image reconstructionNoise artifactsMicro-SPECT systemComputer simulationsReal data validationImage reconstructionDigital phantomExpectation maximizationData validationCA moduleMLEM algorithmImage qualityPinhole imagesProjection angleCommercial softwareImagesPhantom imagesSquared errorSPECT imagesCA imagesImage contrast
1998
A novel geometry for SPECT imaging associated with the EM-type blind deconvolution method
Liu Y, Rangarajan A, Gagnon D, Therrien M, Sinusas A, Wackers F, Zubal I. A novel geometry for SPECT imaging associated with the EM-type blind deconvolution method. IEEE Transactions On Nuclear Science 1998, 45: 2095-2101. DOI: 10.1109/23.708310.Peer-Reviewed Original ResearchBlind deconvolution algorithmImage qualityHand dataPhantom dataSPECT projectionsBlind deconvolution methodAperture projectionsDeconvolution algorithmImage resolutionAlgorithmDual-head SPECT systemParallel-hole collimatorDual-head SPECTImaging systemSystemCollimator headHole collimatorSPECT systemRestoration processImagesAperture collimatorNoise ratioCount sensitivityDataQuality
1997
A novel geometry for SPECT imaging associated with the EM-type blind deconvolution method
Liu Y, Rangarajan A, Gagnon D, Therrien M, Sinusas A, Wackers F, Zubal I. A novel geometry for SPECT imaging associated with the EM-type blind deconvolution method. 2011 IEEE Nuclear Science Symposium Conference Record 1997, 2: 1014-1017 vol.2. DOI: 10.1109/nssmic.1997.670482.Peer-Reviewed Original ResearchBlind deconvolution algorithmHigh-resolution projection imagesImage qualitySPECT imaging systemHand dataProjection imagesBlind deconvolution methodDecoding techniquesAperture projectionsImaging systemCamera headDeconvolution algorithmImage resolutionAlgorithmPhantom dataImagesSPECT projectionsParallel-hole collimatorDual-head SPECTHole collimatorSystemCollimator headRestoration processRod phantomAperture collimator
1995
Blind deconvolution of fluorescence micrographs by maximum-likelihood estimation.
Krishnamurthi V, Liu Y, Bhattacharyya S, Turner J, Holmes T. Blind deconvolution of fluorescence micrographs by maximum-likelihood estimation. Applied Optics 1995, 34: 6633-47. PMID: 21060518, DOI: 10.1364/ao.34.006633.Peer-Reviewed Original ResearchReal image reconstructionReconstructed imagesBlind deconvolutionImage dataBlind deconvolution algorithmAlgorithmic refinementsBlind deconvolution methodPoint spread functionSame data setImage reconstructionReconstructed point spread functionsAlgorithmData setsImagesBlind versionSmear removalConfocal dataComputer simulationsMaximum likelihood estimationDeblurringFluorescence micrographs