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Related Experiment Video

Updated: Aug 6, 2025

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
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Intravascular Imaging-Based Physiologic Assessment.

Fumiyasu Seike1, Shinji Inaba1, Kazunori Yasuda2

  • 1Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime 791-0295, Japan.

Interventional Cardiology Clinics
|March 15, 2023
PubMed
Summary

Intravascular imaging-derived fractional flow reserve (FFR) offers accurate physiological assessment, correlating well with wire-based FFR. This technology aids in percutaneous coronary intervention guidance and optimization.

Keywords:
Fluid dynamicsIntravascular ultrasoundOptical coherence tomographyVirtual fractional flow reserve

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In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
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Area of Science:

  • Cardiovascular Imaging
  • Interventional Cardiology
  • Physiology

Background:

  • Intravascular imaging (IVI), including intravascular ultrasound (IVUS) and optical coherence tomography (OCT), provides anatomical detail but not accurate myocardial ischemia assessment.
  • Fractional flow reserve (FFR) is crucial for evaluating ischemia, typically measured invasively using pressure wires.
  • Virtual FFR methods derived from IVI have been developed to estimate physiological significance non-invasively.

Purpose of the Study:

  • To evaluate the accuracy and potential applications of IVI-derived FFR.
  • To assess the correlation between IVI-derived FFR and wire-based FFR.
  • To explore the role of IVI-derived FFR in percutaneous coronary intervention (PCI).

Main Methods:

  • Development of algorithms based on fluid dynamics (Poiseuille, Borda-Carnot) and microvascular models.
  • Calculation of virtual FFR using IVI data (IVUS, OCT).
  • Comparison of IVI-derived FFR with wire-based FFR measurements.

Main Results:

  • IVI-derived FFR software demonstrated high accuracy (88% to 94%) in calculating FFR.
  • Strong correlations were observed between IVI-derived FFR and wire-based FFR (r = 0.69 to 0.89).
  • Models were primarily based on standard populations, not independent patient data.

Conclusions:

  • IVI-derived FFR shows significant potential for accurate physiological assessment in coronary artery disease.
  • While limited for pre-PCI evaluation compared to other methods, it offers unique value in PCI guidance and optimization.
  • This technology enables a comprehensive, time- and cost-saving assessment of both anatomical and physiological lesion characteristics using a single device.