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 accuracyImagesFrameDose-aware Diffusion Model for 3D Low-count Cardiac SPECT Image Denoising with Projection-domain Consistency
Xie H, Gan W, Chen X, Zhou B, Liu Q, Xia M, Guo X, Liu Y, An H, Kamilov U, Wang G, Sinusas A, Liu C. Dose-aware Diffusion Model for 3D Low-count Cardiac SPECT Image Denoising with Projection-domain Consistency. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10655170.Peer-Reviewed Original ResearchImage denoisingImage denoising performanceDeep learning techniquesNoise-levelDenoising performanceDenoising resultsNeural networkLearning techniquesSPECT imagesLow count levelsSPECT scansDenoisingSampling stepIterative reconstructionNoise amplitudeImagesInjected dosePatient studiesDiffusion modelRadiation exposureCardiology studiesSPECTNetworkStochastic natureMLEM
2023
Dual-Domain Iterative Network with Adaptive Data Consistency for Joint Denoising and Few-Angle Reconstruction of Low-Dose Cardiac SPECT
Chen X, Zhou B, Xie H, Guo X, Liu Q, Sinusas A, Liu C. Dual-Domain Iterative Network with Adaptive Data Consistency for Joint Denoising and Few-Angle Reconstruction of Low-Dose Cardiac SPECT. Lecture Notes In Computer Science 2023, 14307: 49-59. DOI: 10.1007/978-3-031-44917-8_5.Peer-Reviewed Original ResearchIterative networkAuxiliary modulesJoint denoisingLow reconstruction accuracySource codeData consistencyNetwork performanceAblation studiesReconstruction accuracyCardiac SPECTConsistency moduleHardware expensePrediction accuracyAngle reconstructionNetworkDenoisingImage noiseAngle projectionsModuleADC moduleAccuracyReconstructionImagesMPI dataCodeTransformer-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 amountSoftwareSegmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network
Xie H, Liu Z, Shi L, Greco K, Chen X, Zhou B, Feher A, Stendahl J, Boutagy N, Kyriakides T, Wang G, Sinusas A, Liu C. Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network. IEEE Transactions On Medical Imaging 2023, 42: 1325-1336. PMID: 36459599, PMCID: PMC10204821, DOI: 10.1109/tmi.2022.3226604.Peer-Reviewed Original Research
2012
Multi-Band Confidence Processing for Two-Pass Speckle Tracking
Wong E, Odonnell M, Compas C, Lin B, Sinusas A, Duncan J. Multi-Band Confidence Processing for Two-Pass Speckle Tracking. 2012, 200-203. DOI: 10.1109/ultsym.2012.0050.Peer-Reviewed Original ResearchTwo-pass approachCorrelation-based trackingSmall search regionSub-band imagesPeak hoppingAdjacent framesSearch regionTwo-pass methodConfidence weightsSingle-pass methodInterframe displacementTrackingPixelsImagesInitial guessRF imagesCubic interpolationRF dataPrevious passMulti-band algorithmDisplacement estimatesDifferent frequency componentsBroadband imagesConfidence indexAlgorithm
2011
Respiratory Gating for A Stationary Dedicated Cardiac SPECT System
Liu C, Chan C, Harris M, Le M, Biondi J, Volokh L, Sinusas A. Respiratory Gating for A Stationary Dedicated Cardiac SPECT System. 2011, 2898-2901. DOI: 10.1109/nssmic.2011.6152514.Peer-Reviewed Original ResearchCardiac SPECT systemDedicated cardiac SPECT systemsRespiratory motion correctionTemporal dataSlow gantry rotationData acquisitionCompressive sensorSPECT systemConventional SPECT systemImage qualityMotion correctionRespiratory gating techniquePhysical phantomRespiratory motionContrast recoveryRespiratory gatingUngated imagesImagesRespiratory triggersSystemGating techniqueMyocardial perfusion SPECTUpper abdomenLower chest
2007
CARDIAC MR IMAGE SEGMENTATION WITH INCOMPRESSIBILITY CONSTRAINT
Zhu Y, Papademetris X, Duncan J, Sinusas A. CARDIAC MR IMAGE SEGMENTATION WITH INCOMPRESSIBILITY CONSTRAINT. 2007, 185-188. DOI: 10.1109/isbi.2007.356819.Peer-Reviewed Original Research
2003
Analysis of Left Ventricular Motion Using a General Robust Point Matching Algorithm
Lin N, Papademetris X, Sinusas A, Duncan J. Analysis of Left Ventricular Motion Using a General Robust Point Matching Algorithm. Lecture Notes In Computer Science 2003, 2878: 556-563. DOI: 10.1007/978-3-540-39899-8_69.Peer-Reviewed Original ResearchPoint matching algorithmRobust point matching algorithmMatching algorithmNon-rigid cardiac motionDimensional medical imagesShape-based informationRobust Point MatchingCardiac magnetic resonance imagesNon-rigid transformationMedical imagesNumber of applicationsPoint matchingSynthetic dataAlgorithmOwn previous workLeft ventricular motionMagnetic resonance imagesCardiac motionImagesPrevious workResonance imagesSegmentationMatchingVentricular motionPriors
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
1994
Development and evaluation of tracking algorithms for cardiac wall motion analysis using phase velocity MR imaging
Constable R, Rath K, Sinusas A, Gore J. Development and evaluation of tracking algorithms for cardiac wall motion analysis using phase velocity MR imaging. Magnetic Resonance In Medicine 1994, 32: 33-42. PMID: 8084235, DOI: 10.1002/mrm.1910320106.Peer-Reviewed Original Research