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 ResearchConceptsSpatial 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 assumptionsFieldView Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging
Charton J, Ren H, Khambhati J, DeFrancesco J, Cheng J, Waheed A, Marciniak S, Moura F, Cardoso R, Lima B, Steen E, Samset E, Picard M, Li X, Li Q. View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging. Lecture Notes In Computer Science 2022, 13565: 64-71. DOI: 10.1007/978-3-031-16902-1_7.Peer-Reviewed Original ResearchColor Doppler echocardiography imageLow-dimensional embeddingDeep learning techniquesHeterogeneous image featuresOpen-source toolHuman annotatorsImage segmentationClassification algorithmsLearning techniquesB-mode imagesB-mode videosNon-intrusiveImage featuresAutomatic processingClassificationEchocardiography imagesDisease diagnosisImagesImage analysisVideoEmbeddingAlgorithmDatasetAnnotationB-mode
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 ResearchPerformance of segmentationLeft ventricle segmentationVentricle segmentationMedical image segmentation modelsSpatiotemporal featuresAttention networkImage segmentation modelSequence of imagesAttention mechanismSegmentation modelTedious taskTarget imageSegmentationEchocardiography imagesExperimental resultsImagesNetworkShape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time Echocardiography
Ta K, Ahn SS, Stendahl JC, Sinusas AJ, Duncan JS. Shape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time Echocardiography. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2021, 00: 536-540. PMID: 34168721, PMCID: PMC8221369, DOI: 10.1109/isbi48211.2021.9433888.Peer-Reviewed Original ResearchConvolutional neural networkAccurate motion estimationCardiac motion patternsMotion estimation performanceDense displacement fieldB-mode echocardiography imagesSegmentation masksMedical imagesMotion estimationNeural networkSegmentation capabilityTarget imageUnsupervised estimationImportant taskSegmentationMotion patternsDisplacement fieldNetworkEchocardiography imagesEstimation performanceImagesLow signalAdditional challengesMotion networkNoise ratio
2020
Unsupervised motion tracking of left ventricle in echocardiography
Ahn SS, Ta K, Lu A, Stendahl JC, Sinusas AJ, Duncan JS. Unsupervised motion tracking of left ventricle in echocardiography. Proceedings Of SPIE--the International Society For Optical Engineering 2020, 11319: 113190z-113190z-7. PMID: 32994659, PMCID: PMC7521020, DOI: 10.1117/12.2549572.Peer-Reviewed Original ResearchMotion trackingGround truth displacement fieldsConvolutional neural networkAccurate motion trackingDense displacement fieldB-mode echocardiography imagesU-NetNeural networkTracking frameworkNon-rigid registration algorithmTarget imageRegistration algorithmTarget frameSource frameAlgorithmEchocardiography imagesFavorable performanceDatasetImagesTrackingDisplacement estimationLarge amountEchocardiographic imagesSegmentationNetwork
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