Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid–structure interaction models and machine learning methods with patient follow-up data: a feasibility study
Abstract Background Coronary plaque vulnerability prediction is difficult because plaque vulnerability is non-trivial to quantify, clinically available medical image modality is not enough to quantify thin cap thickness, prediction methods with high accuracies still need to be developed, and gold-st...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2021-04-01
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Series: | BioMedical Engineering OnLine |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12938-021-00868-6 |