A Multimodality Image-Based Fluid–Structure Interaction Modeling Approach for Prediction of Coronary Plaque Progression Using IVUS and Optical Coherence Tomography Data With Follow-Up

Gelijkaardige items

• 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
  door: Guo, Xiaoya, et al.
  Gepubliceerd in: (2021)
• Combining IVUS and Optical Coherence Tomography for More Accurate Coronary Cap Thickness Quantification and Stress/Strain Calculations: A Patient-Specific Three-Dimensional Fluid-Structure Interaction Modeling Approach
  door: Guo, Xiaoya, et al.
  Gepubliceerd in: (2018)
• Using optical coherence tomography and intravascular ultrasound imaging to quantify coronary plaque cap thickness and vulnerability: a pilot study
  door: Lv, Rui, et al.
  Gepubliceerd in: (2020)
• Predicting Coronary Stenosis Progression Using Plaque Fatigue From IVUS-Based Thin-Slice Models: A Machine Learning Random Forest Approach
  door: Xiaoya Guo, et al.
  Gepubliceerd in: (2022-05-01)
• Multi-patient study for coronary vulnerable plaque model comparisons: 2D/3D and fluid–structure interaction simulations
  door: Wang, Qingyu, et al.
  Gepubliceerd in: (2021)