2024
Development Of Ct Quantitative Tools To Assess Collateral Formation In Rabbit Model Of Hind Limb Ischemia: Implications For Evaluation Of Vascular Reserve.
Vermillion B, Jang S, Alashi A, Burns R, Guerrera N, Depino A, Martins S, Papademetris X, Zeiss C, Guo L, Liu C, Thorn S, Sinusas A. Development Of Ct Quantitative Tools To Assess Collateral Formation In Rabbit Model Of Hind Limb Ischemia: Implications For Evaluation Of Vascular Reserve. Journal Of Cardiovascular Computed Tomography 2024, 18: s50-s51. DOI: 10.1016/j.jcct.2024.05.117.Peer-Reviewed Original ResearchComparative study of functional and structural muscle changes in peripheral artery disease: rubidium-82 positron emission tomography and histological correlation
Alashi A, Vermillion B, Callegari S, Burns R, Guo L, Moulton E, Guerrera N, Depino A, Papademetris X, Zeiss C, Thorn S, Liu C, Sinusas A. Comparative study of functional and structural muscle changes in peripheral artery disease: rubidium-82 positron emission tomography and histological correlation. European Heart Journal - Cardiovascular Imaging 2024, 25: jeae142.087. DOI: 10.1093/ehjci/jeae142.087.Peer-Reviewed Original ResearchPeripheral arterial diseaseStandardized uptake valueHindlimb ischemia modelReactive hyperemiaSkeletal muscle perfusionPerfusion reserveCapillary densityPET imagingArtery diseaseNon-ischemicRubidium-82 positron emission tomographyType 2 muscle fibersRelevant pre-clinical modelIndicative of fibrosisManagement of peripheral arterial diseaseCapillary to muscle fiber ratioClinically relevant pre-clinical modelPre-clinical modelsMuscle perfusionFast myosinWeeks post-ligationRb-82 uptakeEvaluate treatment strategiesRabbit hindlimb ischemia modelPositron emission tomography
2022
CineCT platform for in vivo and ex vivo measurement of 3D high resolution Lagrangian strains in the left ventricle following myocardial infarction and intramyocardial delivery of theranostic hydrogel
Midgett D, Thorn S, Ahn S, Uman S, Avendano R, Melvinsdottir I, Lysyy T, Kim J, Duncan J, Humphrey J, Papademetris X, Burdick J, Sinusas A. CineCT platform for in vivo and ex vivo measurement of 3D high resolution Lagrangian strains in the left ventricle following myocardial infarction and intramyocardial delivery of theranostic hydrogel. Journal Of Molecular And Cellular Cardiology 2022, 166: 74-90. PMID: 35227737, PMCID: PMC9035115, DOI: 10.1016/j.yjmcc.2022.02.004.Peer-Reviewed Original Research
2017
RADIOTRACER IMAGING ALLOWS FOR ASSESSMENT OF SERIAL CHANGES IN ANGIOSOME FOOT PERFUSION FOLLOWING REVASCULARIZATION AND PREDICTS LIMB SALVAGE OUTCOMES IN PATIENTS WITH CRITICAL LIMB ISCHEMIA
Buckley J, Mena-Hurtado C, Jeon S, Papademetris X, Blume P, Sumpio B, Sinusas A, Stacy M. RADIOTRACER IMAGING ALLOWS FOR ASSESSMENT OF SERIAL CHANGES IN ANGIOSOME FOOT PERFUSION FOLLOWING REVASCULARIZATION AND PREDICTS LIMB SALVAGE OUTCOMES IN PATIENTS WITH CRITICAL LIMB ISCHEMIA. Journal Of The American College Of Cardiology 2017, 69: 1393. DOI: 10.1016/s0735-1097(17)34782-4.Peer-Reviewed Original ResearchRADIOTRACER IMAGING OF ANGIOSOME FOOT PERFUSION CORRELATES WITH ANKLE-BRACHIAL INDEX AND DIFFERENTIATES CRITICAL LIMB ISCHEMIA PATIENTS FROM HEALTHY SUBJECTS
Buckley J, Papademetris X, Mena-Hurtado C, Blume P, Sumpio B, Sinusas A, Stacy M. RADIOTRACER IMAGING OF ANGIOSOME FOOT PERFUSION CORRELATES WITH ANKLE-BRACHIAL INDEX AND DIFFERENTIATES CRITICAL LIMB ISCHEMIA PATIENTS FROM HEALTHY SUBJECTS. Journal Of The American College Of Cardiology 2017, 69: 1518. DOI: 10.1016/s0735-1097(17)34907-0.Peer-Reviewed Original Research
2015
Corrigendum to “Contour tracking in echocardiographic sequences via sparse representation and dictionary learning” [Med. Image Anal. 18 (2) (2014) 253–271]
Huang X, Dione D, Compas C, Papademetris X, Lin B, Bregasi A, Sinusas A, Staib L, Duncan J. Corrigendum to “Contour tracking in echocardiographic sequences via sparse representation and dictionary learning” [Med. Image Anal. 18 (2) (2014) 253–271]. Medical Image Analysis 2015, 22: 21. DOI: 10.1016/j.media.2015.01.006.Commentaries, Editorials and Letters
2013
4-D echocardiography assessment of local myocardial strain using 3-D speckle tracking combined with shape tracking
Wong E, O'Donnell M, Thiele K, Comnas C, Huang X, Sampath S, Lin B, Pal P, Papademetris X, Dione D, Staib L, Sinusas A, Duncan J. 4-D echocardiography assessment of local myocardial strain using 3-D speckle tracking combined with shape tracking. 2013, 100-103. DOI: 10.1109/ultsym.2013.0026.Peer-Reviewed Original Research
2012
A COMBINED SHAPE TRACKING AND SPECKLE TRACKING APPROACH FOR 4D DEFORMATION ANALYSIS IN ECHOCARDIOGRAPHY
Compas C, Wong E, Huang X, Sampath S, Lin B, Papademetris X, Thiele K, Dione D, Sinusas A, O'Donnell M, Duncan J. A COMBINED SHAPE TRACKING AND SPECKLE TRACKING APPROACH FOR 4D DEFORMATION ANALYSIS IN ECHOCARDIOGRAPHY. 2012, 1: 458-461. DOI: 10.1109/isbi.2012.6235583.Peer-Reviewed Original ResearchAutomated Segmentation of Real-Time 3D Echocardiography Using an Incompressibility Constraint
Zhu Y, Papademetris X, Sinusas A, Duncan J. Automated Segmentation of Real-Time 3D Echocardiography Using an Incompressibility Constraint. 2012 DOI: 10.5772/28992.Peer-Reviewed Original Research
2008
Integrated Segmentation and Motion Analysis of Cardiac MR Images Using a Subject-Specific Dynamical Model
Zhu Y, Papademetris X, Sinusas A, Duncan J. Integrated Segmentation and Motion Analysis of Cardiac MR Images Using a Subject-Specific Dynamical Model. 2008, 1-8. DOI: 10.1109/cvprw.2008.4563007.Peer-Reviewed Original ResearchSubject-specific dynamical modelBoundary element methodMotion tracking algorithmElement methodDisplacement fieldRecursive Bayesian frameworkCardiac MR imagesDynamical modelCardiac segmentationSegmentation moduleFuture framesSegmentation resultsIntegrated SegmentationSubject vectorsFeature pointsTracking algorithmMyocardial displacementTracking resultsMatching strategySegmentationCardiac imagesCardiac sequenceMotion analysisEfficient wayRegularization modelINTEGRATED SEGMENTATION AND DEFORMATION ANALYSIS OF 4-D CARDIAC MR IMAGES
Zhu Y, Yan P, Papademetris X, Sinusas A, Duncan J. INTEGRATED SEGMENTATION AND DEFORMATION ANALYSIS OF 4-D CARDIAC MR IMAGES. 2008, 1437-1440. DOI: 10.1109/isbi.2008.4541277.Peer-Reviewed Original Research
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 fieldObjectsDetection of Complex Vascular Structures using Polar Neighborhood Intensity Profile
Qian X, Brennan M, Dione D, Dobrucki W, Jackowski M, Breuer C, Sinusas A, Papademetris X. Detection of Complex Vascular Structures using Polar Neighborhood Intensity Profile. 2015 IEEE International Conference On Computer Vision (ICCV) 2007, 1-8. DOI: 10.1109/iccv.2007.4409172.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
2001
Quantification of 3-D regional myocardial deformation: shape-based analysis of magnetic resonance images
Sinusas A, Papademetris X, Constable R, Dione D, Slade M, Shi P, Duncan J. Quantification of 3-D regional myocardial deformation: shape-based analysis of magnetic resonance images. AJP Heart And Circulatory Physiology 2001, 281: h698-h714. PMID: 11454574, DOI: 10.1152/ajpheart.2001.281.2.h698.Peer-Reviewed Original ResearchThe Active Elastic Model
Papademetris X, Constable R, Onat E, Duncan J, Sinusas A, Dione D. The Active Elastic Model. Lecture Notes In Computer Science 2001, 2082: 36-49. DOI: 10.1007/3-540-45729-1_4.Peer-Reviewed Original ResearchEstimation of 3D left ventricular deformation from echocardiography
Papademetris X, Sinusas A, Dione D, Duncan J. Estimation of 3D left ventricular deformation from echocardiography. Medical Image Analysis 2001, 5: 17-28. PMID: 11231174, DOI: 10.1016/s1361-8415(00)00022-0.Peer-Reviewed Original ResearchConceptsDense motion fieldIsotropic linear elastic modelRegional cardiac deformationLinear elastic modelMotion fieldTerms of strainCardiac deformationFiber directionElastic modelDeformationHeart wallGood agreementHeart deformationImage sequencesWallEstimationSpecific directionUltrasound imagesQuantitative estimationInitial correspondenceFieldComputational Platforms for Integrated Cardiac Image Analysis
Papademetris X, Sinusas A, Duncan J. Computational Platforms for Integrated Cardiac Image Analysis. Computational Imaging And Vision 2001, 23: 289-313. DOI: 10.1007/978-94-015-1265-7_11.Chapters
2000
Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation
Papademetris X, Sinusas A, Dione D, Constable R, Duncan J. Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation. Lecture Notes In Computer Science 2000, 1935: 678-686. DOI: 10.1007/978-3-540-40899-4_70.Peer-Reviewed Original Research
1999
Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models
Papademetris X, Shi P, Dione D, Sinusas A, Constable R, Duncan J. Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models. Lecture Notes In Computer Science 1999, 1613: 352-357. DOI: 10.1007/3-540-48714-x_28.Peer-Reviewed Original Research