2022
Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling
Zhang X, You C, Ahn S, Zhuang J, Staib L, Duncan J. Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling. Lecture Notes In Computer Science 2022, 13593: 13-25. DOI: 10.1007/978-3-031-23443-9_2.Peer-Reviewed Original ResearchDisplacement vector fieldQuantitative evaluation metricsCardiac anatomical structuresTraining complexityExtensive experimentsSegmentation performanceBiomechanical feasibilityEvaluation metricsAvailable datasetsCardiac motionSmoothness constraintGeometric constraintsBiomechanical propertiesDatasetMRI dataPlausible transformationsMotionConstraintsAnatomical structuresRegularizerRegularization schemeMethodIncompressibilityImagesMetrics
1998
A novel approach for the registration of 2D portal and 3D CT images for treatment setup verification in radiotherapy
Bansal R, Staib L, Chen Z, Rangarajan A, Knisely J, Nath R, Duncan J. A novel approach for the registration of 2D portal and 3D CT images for treatment setup verification in radiotherapy. Lecture Notes In Computer Science 1998, 1496: 1075-1086. DOI: 10.1007/bfb0056297.Peer-Reviewed Original ResearchRegistration parametersMulti-modality image registrationResolution imagesPortal imagesLow-resolution imagesMutual information metricHigh-resolution imagesImage registrationCT data setsSetup verificationLow contrastInformation metricData setsDifficult problemLow resolutionNovel approachImagesAlgorithmCT dataRegistrationCT imagesVerificationEntropy algorithmSegmentionMetrics