Jonathan Langdon
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Co-Section Chief, Ultrasound, Radiology and Biomedical Imaging
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Appointments
Titles
Co-Section Chief, Ultrasound, Radiology and Biomedical Imaging
Contact Info
Appointments
Titles
Co-Section Chief, Ultrasound, Radiology and Biomedical Imaging
Contact Info
About
Titles
Assistant Professor of Radiology and Biomedical Imaging
Co-Section Chief, Ultrasound, Radiology and Biomedical ImagingAppointments
Radiology & Biomedical Imaging
Assistant ProfessorPrimary
Other Departments & Organizations
- Abdominal Imaging
- Body Imaging
- Radiology & Biomedical Imaging
- Ultrasound
- Yale Medicine
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Jonathan Langdon's published research.
Publications Timeline
A big-picture view of Jonathan Langdon's research output by year.
Stephanie Thorn, MSc, PhD
Albert Sinusas, MD
John Stendahl, MD, PhD
James Duncan, PhD
Lawrence Staib, PhD
John Onofrey, PhD
5Publications
24Citations
Publications
2024
Coordinate-Independent 3-D Ultrasound Principal Stretch and Direction Imaging
Jeng G, Chen P, Hsieh M, Liu Z, Langdon J, Ahn S, Staib L, Stendahl J, Thorn S, Sinusas A, Duncan J, O'Donnell M. Coordinate-Independent 3-D Ultrasound Principal Stretch and Direction Imaging. IEEE Transactions On Biomedical Engineering 2024, PP: 1-12. PMID: 38941195, DOI: 10.1109/tbme.2024.3420220.Peer-Reviewed Original ResearchConceptsPrincipal stretchesAxial displacement componentsSpeckle tracking methodSpeckle tracking approachTracking methodRobust filterDisplacement componentsTissue incompressibilityDisplacement estimationStrain componentsDisplacement gradientsStrain informationLocalized diseased regionStrain imagingLagrangian strainLeast-squares methodTracking approachTracking frameworkCoordinate systemCardiac coordinate systemProbe orientationFilterHigher spatial resolutionCardiac datasetsEnhanced accuracyMulti-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography
Ta K, Ahn S, Thorn S, Stendahl J, Zhang X, Langdon J, Staib L, Sinusas A, Duncan J. Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography. IEEE Transactions On Medical Imaging 2024, 43: 2010-2020. PMID: 38231820, DOI: 10.1109/tmi.2024.3355383.Peer-Reviewed Original ResearchConceptsMulti-task learning networkCross-stitch unitsComposite loss functionAccurate motion estimationTask-specific networksMotion estimationSegmentation masksLearning networkLoss functionSegmentation stepEchocardiography datasetNetworkMotion displacementMotion analysisMultiple time framesTaskAnalysis pipelineSegmentsStrain measurementsDatasetRepresentation
2022
Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography
Ahn S, Ta K, Thorn S, Onofrey J, Melvinsdottir I, Lee S, Langdon J, Sinusas A, Duncan J. Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography. Medical Image Analysis 2022, 84: 102711. PMID: 36525845, PMCID: PMC9812938, DOI: 10.1016/j.media.2022.102711.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSpatial transformer networkMotion trackingNoisy displacement fieldReliable motion estimationMotion tracking methodCardiac strain analysisTransformer networkDisplacement fieldDisplacement pathsMotion fieldTracking methodMotion estimationExperimental resultsStrain analysisSuperior performanceTemporal constraintsCardiac motionTrackingRegularization functionDependent featuresEchocardiography imagesNetworkPrior assumptionsFieldSimultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning
Ta K, Ahn SS, Stendahl JC, Langdon J, Sinusas AJ, Duncan JS. Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning. Lecture Notes In Computer Science 2022, 13131: 123-131. PMID: 35759335, PMCID: PMC9221412, DOI: 10.1007/978-3-030-93722-5_14.Peer-Reviewed Original ResearchCitationsConceptsMotion estimationMulti-task learning networkMedical image analysis literatureMulti-task learningSingle-task learningMotion estimation techniqueImage analysis literatureComputer visionDecoding branchesFeature encoderLearning frameworkLearning networkLatent featuresAccurate segmentationSimultaneous segmentationEstimate motionImage pairsTask learningRealistic motion patternsVolumetric segmentationSegmentationMotion patternsTaskUnique taskLearning
2021
Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography
Ahn SS, Ta K, Thorn S, Langdon J, Sinusas AJ, Duncan JS. Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography. Lecture Notes In Computer Science 2021, 12901: 348-357. PMID: 34729554, PMCID: PMC8560213, DOI: 10.1007/978-3-030-87193-2_33.Peer-Reviewed Original ResearchCitationsAltmetricConceptsPerformance of segmentationLeft ventricle segmentationVentricle segmentationMedical image segmentation modelsSpatiotemporal featuresAttention networkImage segmentation modelSequence of imagesAttention mechanismSegmentation modelTedious taskTarget imageSegmentationEchocardiography imagesExperimental resultsImagesNetwork