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

Míreanna Comhchosúla

• 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
  le: Guo, Xiaoya, et al.
  Foilsithe: (2019)
• Using optical coherence tomography and intravascular ultrasound imaging to quantify coronary plaque cap thickness and vulnerability: a pilot study
  le: Lv, Rui, et al.
  Foilsithe: (2020)
• Predicting Coronary Stenosis Progression Using Plaque Fatigue From IVUS-Based Thin-Slice Models: A Machine Learning Random Forest Approach
  le: Xiaoya Guo, et al.
  Foilsithe: (2022-05-01)
• Quantify patient-specific coronary material property and its impact on stress/strain calculations using in vivo IVUS data and 3D FSI models: a pilot study
  le: Guo, Xiaoya, et al.
  Foilsithe: (2016)
• 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
  le: Guo, Xiaoya, et al.
  Foilsithe: (2021)