Abstract
The recent widespread application of optical coherence tomography (OCT) in interventional cardiology has improved patient-specific modeling of stented coronary arteries for the investigation of local hemodynamics. In this review, the workflow for the creation of fluid dynamics models of stented coronary arteries from OCT images is presented. The algorithms for lumen contours and stent strut detection from OCT as well as the reconstruction methods of stented geometries are discussed. Furthermore, the state of the art of studies that investigate the hemodynamics of OCT-based stented coronary artery geometries is reported. Although those studies analyzed few patient-specific cases, the application of the current reconstruction methods of stented geometries to large populations is possible. However, the improvement of these methods and the reduction of the time needed for the entire modeling process are crucial for a widespread clinical use of the OCT-based models and future in silico clinical trials.
Highlights
Over the last years, the use of computer modeling as a tool for new medical device development and pre-operative planning has become more and more important in the biomedical field
The present review focuses on the optical coherence tomography (OCT)-based patient-specific modeling of stented coronary arteries for the analysis of the local hemodynamics
This review analyzed the workflow for the creation of computational fluid dynamics (CFD) models of stented coronary arteries starting from patientspecific OCT images
Summary
The use of computer modeling as a tool for new medical device development and pre-operative planning has become more and more important in the biomedical field. The main steps for the creation of a patient-specific stented coronary artery model from OCT images are (1) the collection of a patient’s clinical data, including OCT and angiography (or computed tomography—CT); (2) the detection of lumen contours and stent struts from OCT images using automatic segmentation algorithms; (3) the 3D reconstruction of the stented geometry by combining OCT and angiography (or CT); and (4) the execution of the CFD simulation.
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