2017
Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching
Parajuli N, Lu A, Stendahl J, Zontak M, Boutagy N, Alkhalil I, Eberle M, Lin B, O’Donnell M, Sinusas A, Duncan J. Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching. Lecture Notes In Computer Science 2017, 10434: 279-286. DOI: 10.1007/978-3-319-66185-8_32.Peer-Reviewed Original ResearchCardiac motion trackingNeural networkMotion trackingTedious feature engineeringSiamese neural networkMotion tracking methodFeature engineeringSiamese networkFeature matchingGraph nodesImage patchesSpatiotemporal problemsTracking algorithmTracking methodEdge weightsNetworkLinear programmingConsistent constraintsAdditional important contributionTrackingAlgorithmDatasetProgrammingNodesMatching
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
2007
Local Shape Registration Using Boundary-Constrained Match of Skeletons
Zhu Y, Papademetris X, Sinusas A, Duncan J. Local Shape Registration Using Boundary-Constrained Match of Skeletons. 2007, 1-8. DOI: 10.1109/cvpr.2007.383427.Peer-Reviewed Original ResearchTarget objectDynamic pruning algorithmLocal shapePruning algorithmShape registration algorithmRegistration algorithmObject skeletonShape registrationCardiac sequenceAlgorithmShape correspondenceConstraint termBinary shapesMeaningful correspondenceBulky objectsLocal shape registrationPotential fieldObjectsCARDIAC 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 ResearchShape-based 4D left ventricular myocardial function analysis
Shi P, Amini A, Robinson G, Sinusas A, Constable C, Duncan J. Shape-based 4D left ventricular myocardial function analysis. 1994, 88-97. DOI: 10.1109/bia.1994.315862.Peer-Reviewed Original ResearchFour-dimensional image dataImage analysis algorithmsSurface curvature estimationInitial experimental resultsImage dataImage sequencesImage analysis methodMotion trackingVisualization techniquesAnalysis algorithmImage-derived measuresDifferent modalitiesSurface triangulationExperimental resultsTemporal framesCurvature estimationLV motionRegional myocardial viabilityAlgorithmAnalysis methodTrackingNew developmentsTechniqueQuantitative measuresAn automated approach for quantification of relative regional myocardial blood flow, using SPECT Tc99m-sestamibi: preliminary validation in a canine model
Liu Y, Sinusas A, Shi C, Shen M, Dione D, Duncan J, Wackers F. An automated approach for quantification of relative regional myocardial blood flow, using SPECT Tc99m-sestamibi: preliminary validation in a canine model. 1994, 1: 636-638 vol.1. DOI: 10.1109/iembs.1994.411839.Peer-Reviewed Original Research