Feasibility and accuracy of real-time 3D-holographic graft length measurements.

Tsung-Ying TsaiShigetaka KageyamaXingQiang HeGiulio PompilioDaniele AndreiniGianluca PontoneMark La MeirJohan De MeyKaoru TanakaTorsten DoenstJohn PuskasUlf K TeichgräberUlrich SchneiderHimanshu GuptaJonathon LeipsicScot GargPruthvi C RevaiahMaciej StanuchAndrzej SkalskiYoshinobu OnumaPatrick W J C Serruys

Published in: European heart journal. Digital health (2023)

Real-time holographic measurements are feasible, quick, and accurate even for tortuous bypass grafts. This new methodology can empower clinicians to visualize and measure 3D images by themselves and may provide insights for procedural strategy.

Keyphrases

deep learning
palliative care
convolutional neural network
high resolution
optical coherence tomography
machine learning