TVnet: automated time-resolved tracking of the tricuspid valve plane in MRI long-axis cine images with a dual-stage deep learning pipeline
Tracking the tricuspid valve (TV) in magnetic resonance imaging (MRI) long-axis cine images has the potential to aid in the evaluation of right ventricular dysfunction, which is common in congenital heart disease and pulmonary hypertension. However, this annotation task remains difficult and time-de...
Main Authors: | Gonzales, RA, Lamy, J, Seemann, F, Heiberg, E, Onofrey, JA, Peters, DC |
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פורמט: | Conference item |
שפה: | English |
יצא לאור: |
Springer
2021
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פריטים דומים
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Automated tracking of the tricuspid valve plane in long-axis cine images with a 2-step deep learning pipeline
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TVnet: a deep-learning approach for enhanced right ventricular function analysis through tricuspid valve motion tracking
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