2012
Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation
DeLorenzo C, Papademetris X, Staib LH, Vives KP, Spencer DD, Duncan JS. Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation. IEEE Transactions On Medical Imaging 2012, 31: 1607-1619. PMID: 22562728, PMCID: PMC3600363, DOI: 10.1109/tmi.2012.2197407.Peer-Reviewed Original ResearchConceptsLinear elastic modelSurface displacementsElastic modelBrain deformationVolumetric brain deformationMaterial parametersMaterial propertiesRealistic brain phantomDeformationBiomechanical modelIntraoperative brainModel accuracyLocalization errorPhantom validationAccurate surgical guidanceModel solutionsModel developmentInitial estimationDisplacementModel sensitivityQuantitative validationPhantom resultsPreoperative imagesSurgical guidancePreliminary application
2011
A Unified Framework for Joint Segmentation, Nonrigid Registration and Tumor Detection: Application to MR-Guided Radiotherapy
Lu C, Chelikani S, Duncan JS. A Unified Framework for Joint Segmentation, Nonrigid Registration and Tumor Detection: Application to MR-Guided Radiotherapy. Lecture Notes In Computer Science 2011, 22: 525-537. PMID: 21761683, PMCID: PMC3889153, DOI: 10.1007/978-3-642-22092-0_43.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceComputer SimulationFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedModels, BiologicalModels, StatisticalPattern Recognition, AutomatedRadiotherapy, Computer-AssistedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueUterine Cervical Neoplasms
2010
Image-Guided Intraoperative Cortical Deformation Recovery Using Game Theory: Application to Neocortical Epilepsy Surgery
DeLorenzo C, Papademetris X, Staib LH, Vives KP, Spencer DD, Duncan JS. Image-Guided Intraoperative Cortical Deformation Recovery Using Game Theory: Application to Neocortical Epilepsy Surgery. IEEE Transactions On Medical Imaging 2010, 29: 322-338. PMID: 20129844, PMCID: PMC2824434, DOI: 10.1109/tmi.2009.2027993.Peer-Reviewed Original ResearchConceptsDeformation estimationSurface deformationBrain surface deformationSurface deformation estimationPreoperative brain imagesCortical surface deformationSurface trackingCamera calibration parametersDisplacement errorStereo vision systemBrain deformationDeformationCalibration parametersBiomechanical modelIntraoperative brainCalibration errorsPhysical processesVision systemVivo casesCamera calibrationStereo systemInitial conditionsImage acquisitionErrorEstimation
2007
Boundary element method-based regularization for recovering of LV deformation
Yan P, Sinusas A, Duncan JS. Boundary element method-based regularization for recovering of LV deformation. Medical Image Analysis 2007, 11: 540-554. PMID: 17584521, DOI: 10.1016/j.media.2007.04.007.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAnimalsComputer SimulationDogsElasticityFinite Element AnalysisHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingModels, CardiovascularReproducibility of ResultsSensitivity and SpecificityStress, MechanicalVentricular Dysfunction, LeftConceptsBoundary element methodImage sequencesElement methodDisplacement fieldDense displacement fieldNew regularization modelDeformationRegularization modelCardiac magnetic resonance image sequencesMagnetic resonance image sequencesEchocardiographic image sequencesLattice densityFeature informationComputation timePhysical plausibilityImage dataDisplacementMatching strategyA Comprehensive System for Intraoperative 3D Brain Deformation Recovery
DeLorenzo C, Papademetris X, Vives KP, Spencer DD, Duncan JS. A Comprehensive System for Intraoperative 3D Brain Deformation Recovery. Lecture Notes In Computer Science 2007, 10: 553-561. PMID: 18044612, PMCID: PMC2864112, DOI: 10.1007/978-3-540-75759-7_67.Peer-Reviewed Original ResearchConceptsBrain deformationLinear elastic modelVolumetric brain deformationDeformation recoverySurface trackingSurface displacementsElastic modelRealistic brain phantomDeformationBiomechanical modelLarge brain deformationsIntraoperative brainFeature detectionSemiautomatic strategyBrain phantomPreoperative imagesDisplacement
2006
Towards pointwise motion tracking in echocardiographic image sequences – Comparing the reliability of different features for speckle tracking
Yu W, Yan P, Sinusas AJ, Thiele K, Duncan JS. Towards pointwise motion tracking in echocardiographic image sequences – Comparing the reliability of different features for speckle tracking. Medical Image Analysis 2006, 10: 495-508. PMID: 16574465, DOI: 10.1016/j.media.2005.12.003.Peer-Reviewed Original ResearchConceptsMotion trackingBetter compensation resultsRadio frequency signalsLarge deformationDisplacement estimationTissue motionFrequency signalsSmall deformationsRF signalCompensation resultsFiltered featuresTracking featuresDeformationLinear convolution modelExperiment resultsTrackingEchocardiographic image sequencesPhantom examplesReliability measuresImage sequencesB-modeInverse problemSignalsReliabilityDifferent features
2005
A Boundary Element-Based Approach to Analysis of LV Deformation
Yan P, Lin N, Sinusas AJ, Duncan JS. A Boundary Element-Based Approach to Analysis of LV Deformation. Lecture Notes In Computer Science 2005, 8: 778-785. PMID: 16685917, DOI: 10.1007/11566465_96.Peer-Reviewed Original Research
2002
Model-driven brain shift compensation
Škrinjar O, Nabavi A, Duncan J. Model-driven brain shift compensation. Medical Image Analysis 2002, 6: 361-373. PMID: 12494947, DOI: 10.1016/s1361-8415(02)00062-2.Peer-Reviewed Original ResearchConceptsBrain shift compensationShift compensationIntraoperative surface dataIntraoperative brain deformationSpring-mass modelContinuum mechanicsBrain deformationNavigation systemSame coordinate systemDeformationSurface dataBrain shiftMR image sequencesCoordinate systemImage sequencesSurgical navigation systemDominant errorCompensationPartial validationFull volumeSystemErrorEstimation of 3-D Left Ventricular Deformation from Medical Images Using Biomechanical Models
Papademetris* X, Sinusas AJ, Dione DP, Constable RT, Duncan JS. Estimation of 3-D Left Ventricular Deformation from Medical Images Using Biomechanical Models. IEEE Transactions On Medical Imaging 2002, 21: 786. PMID: 12374316, DOI: 10.1109/tmi.2002.801163.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAnimalsCoronary DiseaseDogsElasticityFinite Element AnalysisHeart VentriclesHumansImage EnhancementImaging, Three-DimensionalMagnetic Resonance Imaging, CineModels, CardiovascularPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificityStress, MechanicalConceptsDense motion fieldRegional cardiac deformationLinear elastic modelSoft tissue deformationMotion fieldTerms of strainBiomechanical modelDeformation estimationTissue deformationFiber directionDeformationThree-dimensional image sequencesCardiac deformationHeart wallGood agreementHeart deformationGeneric methodologyMuscle fiber directionImage-derived informationImage sequencesEstimationWallSpecific directionQuantitative estimationInitial correspondence
1996
Tracking myocardial deformation using phase contrast MR velocity fields: a stochastic approach
Meyer FG, Constable RT, Sinusas AJ, Duncan JS. Tracking myocardial deformation using phase contrast MR velocity fields: a stochastic approach. IEEE Transactions On Medical Imaging 1996, 15: 453-465. PMID: 18215927, DOI: 10.1109/42.511749.Peer-Reviewed Original ResearchVelocity fieldVelocity dataKalman filterAverage errorField velocityVelocity vectorMR velocity dataDeformationEntire cardiac cycleNew approachBasic dynamical modelImage framesMotion problemCardiac motionLV motionFilterMotionContour dataStochastic approachThree-dimensional datasetsDynamical modelNoisePath lengthKinematicsPhantom data