2024
Tricuspid valve flow measurement using a deep learning framework for automated valve‐tracking 2D phase contrast
Lamy J, Gonzales R, Xiang J, Seemann F, Huber S, Steele J, Wieben O, Heiberg E, Peters D. Tricuspid valve flow measurement using a deep learning framework for automated valve‐tracking 2D phase contrast. Magnetic Resonance In Medicine 2024, 92: 1838-1850. PMID: 38817154, PMCID: PMC11341256, DOI: 10.1002/mrm.30163.Peer-Reviewed Original ResearchStroke volumeHealthy subjectsLong-axis cine imagesTricuspid valve planeTricuspid regurgitation velocityDiastolic function evaluationVentricular stroke volumePhase contrastSystolic excursionRegurgitation velocityTricuspid valveTrace regurgitationDiastolic flowCine imagesTricuspidClinical challengeCardiovascular MRValve planeValvular planeAcquisition planeHigh-velocity jetPatientsTraining deep learning networksPlanimetryDeep learning framework
2021
TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline
Gonzales R, Lamy J, Seemann F, Heiberg E, Onofrey J, Peters D. TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline. Lecture Notes In Computer Science 2021, 12906: 567-576. DOI: 10.1007/978-3-030-87231-1_55.Peer-Reviewed Original Research