2024
Chapter 20 Motion and deformation recovery and analysis
Duncan J, Staib L. Chapter 20 Motion and deformation recovery and analysis. 2024, 519-548. DOI: 10.1016/b978-0-12-813657-7.00033-9.Peer-Reviewed Original ResearchArtificial neural networkData-driven approachDeep learningMedical imagesOptical flow methodMotion estimationNeural networkDense flow fieldLocal informationShape trackingFeature trackingAlgorithm performanceMedical imagingExample applicationUse of modelsDeformation recoveryFlow fieldTrackingDeformation analysisKalman filteringMotion analysisBiomechanical deformationFlow methodDeformationEvaluation approach
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
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
Nonrigid Intraoperative Cortical Surface Tracking Using Game Theory
DeLorenzo C, Papademetris X, Staib L, Vives K, Spencer D, Duncan J. Nonrigid Intraoperative Cortical Surface Tracking Using Game Theory. 2015 IEEE International Conference On Computer Vision (ICCV) 2007, 1-8. DOI: 10.1109/iccv.2007.4409135.Peer-Reviewed Original ResearchSurface deformationPreoperative brain imagesCortical surface deformationSurface trackingDeformation estimationStereo vision systemBrain deformationDeformationBiomechanical modelIntraoperative brainCalibration errorsPhysical processesVision systemCamera calibrationStereo systemImage acquisitionUsing Game TheoryGame theory
2004
Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model
Bansal R, Staib L, Peterson B. Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model. Lecture Notes In Computer Science 2004, 3216: 78-86. DOI: 10.1007/978-3-540-30135-6_10.Peer-Reviewed Original ResearchPartial differential equationsConstraints of interestEntropy minimizationBody forceBias fieldDifferential equationsObserved imagesMathematical formulationOverall entropyElastic deformationEntropyElastic modelHomogeneous regionsMinimizationFieldConstraintsFormulationEquationsNonuniformityMultiplicative bias fieldAlgorithmOriginal imageDeformationForce
1991
Measurement of non-rigid motion using contour shape descriptors
Duncan J, Owen R, Staib L, Anandan P. Measurement of non-rigid motion using contour shape descriptors. 2015 IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 1991, 318-324. DOI: 10.1109/cvpr.1991.139709.Peer-Reviewed Original Research