Model generation of coronary artery bifurcations from CTA and single plane angiography

Authors

  • Cárdenes Rubén,

    1. Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB)—Universitat Pompeu Fabra and Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08018, Spain
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  • Díez José L.,

    1. Cardiology Department, University Hospital Dr. Peset, Valencia 46017, Spain
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  • Duchateau Nicolas,

    1. Hospital Clinic Provincial de Barcelona, Institut d'investigacions Biomèdiques August Pi i Sunyer—Universitat de Barcelona, Barcelona 08036, Spain
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  • Pashaei Ali,

    1. Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB)—Universitat Pompeu Fabra and Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08018, Spain
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  • Frangi Alejandro F.

    1. Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB)—Universitat Pompeu Fabra and Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08018, Spain and Department of Mechanical Engineering, University of Sheffield, Sheffield S1 3JD, United Kingdom
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Abstract

Purpose:

To generate accurate and realistic models of coronary artery bifurcations before and after percutaneous coronary intervention (PCI), using information from two image modalities. Because bifurcations are regions where atherosclerotic plaque appears frequently and intervention is more challenging, generation of such realistic models could be of high value to predict the risk of restenosis or thrombosis after stent implantation, and to study geometrical and hemodynamical changes.

Methods:

Two image modalities have been employed to generate the bifurcation models: computer tomography angiography (CTA) to obtain the 3D trajectory of vessels, and 2D conventional coronary angiography (CCA) to obtain radius information of the vessel lumen, due to its better contrast and image resolution. In addition, CCA can be acquired right before and after the intervention in the operation room; therefore, the combination of CTA and CCA allows the generation of realistic preprocedure and postprocedure models of coronary bifurcations. The method proposed is semiautomatic, based on landmarks manually placed on both image modalities.

Results:

A comparative study of the models obtained with the proposed method with models manually obtained using only CTA, shows more reliable results when both modalities are used together. The authors show that using preprocedure CTA and postprocedure CCA, realistic postprocedure models can be obtained. Analysis carried out of the Murray's law in all patient bifurcations shows the geometric improvement of PCI in our models, better than using manual models from CTA alone. An experiment using a cardiac phantom also shows the feasibility of the proposed method.

Conclusions:

The authors have shown that fusion of CTA and CCA is feasible for realistic generation of coronary bifurcation models before and after PCI. The method proposed is efficient, and relies on minimal user interaction, and therefore is of high value to study geometric and hemodynamic changes of treated patients.

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