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Retrograde Perfusion and Filling of Mouse Coronary Vasculature as Preparation for Micro Computed Tomography Imaging

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Published on: February 10, 2012

Coronary Angiography Upgraded by Imaging Post-Processing: Present and Future Directions.

Benoit Caullery¹, Laurent Riou², Gilles Barone-Rochette^1,2,3

¹Department of Cardiology, University Hospital, 38000 Grenoble, France.

Diagnostics (Basel, Switzerland)

|June 10, 2023

Summary

New computer technology analyzes angiograms to assess coronary artery function without a guide-wire. This innovation enables virtual percutaneous coronary intervention (PCI) planning and optimization, enhancing diagnostic capabilities.

Keywords:

CASS vFFR FFRRangio FlashAngio CaFFR QFR pre- and post-PCI angiography-derived FFR virtual PCI

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Published on: June 3, 2018

Area of Science:

Cardiovascular imaging and intervention
Medical image processing
Computational physiology

Background:

Traditional invasive methods for assessing coronary physiology, such as fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR), often require a guide-wire.
Coronary angiography provides anatomical information but limited physiological insights.
Advances in computational power and imaging algorithms present opportunities to extract more data from existing angiographic images.

Purpose of the Study:

To review recent advancements in leveraging computer technology and image processing for coronary angiography.
To explore the potential of these technologies in providing physiological information equivalent to FFR and iFR.
To discuss the application of these tools in virtual percutaneous coronary intervention (PCI) and result optimization.

Main Methods:

Utilizing advanced computer algorithms and image processing techniques on standard angiographic data.
Developing software capable of deriving physiological parameters from 2D or 3D angiographic reconstructions.
Simulating hemodynamic conditions and intervention outcomes virtually.

Main Results:

Demonstration of non-invasive derivation of coronary physiological parameters comparable to FFR and iFR from angiographic images.
Capability to perform virtual percutaneous coronary intervention (PCI) simulations, including stent placement and assessment.
Potential for optimizing PCI strategies and predicting procedural success based on pre-procedural analysis.

Conclusions:

Computer technology and image processing significantly enhance invasive coronary angiography by providing crucial physiological data.
These advancements enable wire-free physiological assessment and virtual PCI, offering a powerful new diagnostic and planning tool.
The integration of these technologies promises to improve the accuracy and outcomes of coronary interventions.