2021
Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning
Shi L, Lu Y, Dvornek N, Weyman CA, Miller EJ, Sinusas AJ, Liu C. Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning. IEEE Transactions On Medical Imaging 2021, 40: 3293-3304. PMID: 34018932, PMCID: PMC8670362, DOI: 10.1109/tmi.2021.3082578.Peer-Reviewed Original ResearchConceptsConvolutional neural networkRegistration-based methodMotion correctionDynamic frameTracer distribution changeDynamic image dataPatient motion correctionPatient scansDeep learningPatient motionMotion estimationImage dataLSTM networkNeural networkRealistic patient motionTemporal informationMotion correction methodMotion detectionCardiac PETClinical workflowRigid translational motionFlow estimationNetworkPatient datasetsSuperior performance
1996
Volumetric flow estimation in vivo and in vitro using pulsed-Doppler ultrasound
Holland C, Clancy M, Taylor K, Alderman J, Purushothaman K, McCauley T. Volumetric flow estimation in vivo and in vitro using pulsed-Doppler ultrasound. Ultrasound In Medicine & Biology 1996, 22: 591-603. PMID: 8865556, DOI: 10.1016/0301-5629(96)00046-4.Peer-Reviewed Original ResearchConceptsVolumetric flow estimationFlow modelFlow errorsFlow estimationVitro flow modelSignificant technological challengeArray transducerContinuous waveformsPorcine femoral arteriesPulsatile flow modelTechnological challengesImaging systemDiameterErrorEstimationVF1WaveformsAccuracyDevicesFlowTransducer
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