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
2023
2.5D Flow MRI: 2D phase-contrast of the tricuspid valvular flow with automated valve-tracking
Lamy J, Xiang J, Seemann F, Gonzales R, Huber S, Steele J, Heiberg E, Peters D. 2.5D Flow MRI: 2D phase-contrast of the tricuspid valvular flow with automated valve-tracking. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/0930.Peer-Reviewed Original ResearchAssociated with diastolic dysfunctionTricuspid regurgitation velocityRV stroke volumePhase contrastDiastolic dysfunctionTricuspid regurgitationPulmonary hypertensionRegurgitation velocityPressure overloadRight heartHealthy subjectsTricuspidPhase contrast methodStroke volumeFlow MRIRegurgitationValvular flowPatientsPhase-dependent mannerFlow volumeEchocardiography