A new methodology for accurate 3-dimensional coronary artery reconstruction using routine intravascular ultrasound and angiographic data: implications for widespread assessment of endothelial shear stress in humans

Bourantas, Christos V.; Papafaklis, Michail I.; Athanasiou, Lambros S.; Kalatzis, Fanis G.; Naka, Katerina K.; Siogkas, Panagiotis K.; Takahashi, Saeko; Saïto, Shigeru; Fotiadis, Dimitrios I.; Feldman, Charles L.; Stone, Peter H.; Michalis, Lampros K.

doi:10.4244/eijv9i5a94

Cited by 68 publications

(38 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although several lumen detection [17]–[22] and 3D reconstruction [10]–[12], [35], [36] methods exist, none of them is able to create fast and realistic coronary models. Using the traditional lumen detection methods, the lumen border is detected individually for each frame resulting to several limitations: increased computational time, unreliable lumen detection in side branches and irrelevant detection in frames having artifacts.…”

Section: Discussionmentioning

confidence: 99%

“…The fast (120 sec) processing of the OCT pullback is of utmost importance as the method can potentially be used during real-time OCT acquisition in catheterization laboratories. Beyond the lumen detection, the proposed method enables fast and accurate (WSS: R 2 =0.95, r= 0.97) 3D coronary representation, overcoming the limitations of the current 3D reconstruction methods: increased computational time [10]–[12] and use of circular contour [35], [36] instead of the lumen contour. Furthermore, the proposed method can be used in OCT based studies focusing in hemodynamic factors [1], as our findings support the application of the method for calculating the local WSS in coronary arteries.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography

Athanasiou

Nezami

Galon

et al. 2018

IEEE J. Biomed. Health Inform.

Self Cite

View full text Add to dashboard Cite

We present a novel and time-efficient method for intracoronary lumen detection which produces three-dimensional (3D) coronary arteries using Optical Coherence Tomographic (OCT) images. OCT images are acquired for multiple patients and longitudinal cross-section (LOCS) images are reconstructed using different acquisition angles. The lumen contours for each LOCS image are extracted and translated to 2D cross-sectional images. Using two angiographic projections the centerline of the coronary vessel is reconstructed in 3D and the detected 2D contours are transformed to 3D and placed perpendicular to the centerline. To validate the proposed method, 613 manual annotations from medical experts were used as gold standard. The 2D detected contours were compared to the annotated contours and the 3D reconstructed models produced using the detected contours were compared to the models produced by the annotated contours. Wall shear stress (WSS), as dominant hemodynamics factor, was calculated using computational fluid dynamics and 844 consecutive 2-mm segments of the 3D models were extracted and compared to each other. High Pearson’s correlation coefficients were obtained for the lumen area (r=0.98) and local WSS (r=0.97) measurements, while no significant bias with good limits of agreement was shown in the Bland-Altman analysis. The overlapping and non-overlapping areas ratio between experts’ annotations and presented method was 0.92 and 0.14, respectively. The proposed computer-aided lumen extraction and 3D vessel reconstruction method is fast, accurate and likely to assist in a number of research and clinical applications.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography

Athanasiou

Nezami

Galon

et al. 2018

IEEE J. Biomed. Health Inform.

Self Cite

View full text Add to dashboard Cite

show abstract

“…According to (16), if γ j is greater than a threshold t, the point c j is considered to lie on the vessel wall and its weight is set to 1. We assume that if a point has no high intensity neighbours, it does not belong to the vessel wall and its weight is set to 0.…”

Section: B Uncertainty Estimationmentioning

confidence: 99%

SCEM+: Real-Time Robust Simultaneous Catheter and Environment Modeling for Endovascular Navigation

Zhao

Giannarou

Su-Lin

et al. 2016

IEEE Robot. Autom. Lett.

View full text Add to dashboard Cite

Abstract-Endovascular procedures are characterised by significant challenges mainly due to the complexity in catheter control and navigation. Real-time recovery of the 3D structure of the vasculature is necessary to visualise the interaction between the catheter and its surrounding environment to facilitate catheter manipulations. State-of-the-art intra-operative vessel reconstruction approaches are increasingly relying on non-ionising imaging techniques such as optical coherence tomography (OCT) and intravascular ultrasound (IVUS). To enable accurate recovery of vessel structures and to deal with sensing errors and abrupt catheter motions, this paper presents a robust and real-time vessel reconstruction scheme for endovascular navigation based on IVUS and electromagnetic (EM) tracking. It is formulated as a nonlinear optimisation problem, which considers the uncertainty in both the IVUS contour and the EM pose, as well as vessel morphology provided by pre-operative data. Detailed phantom validation is performed and the results demonstrate the potential clinical value of the technique.

show abstract

“…CFD assessment of the endothelial shear stress (ESS) distribution was performed based on a 3-D vessel model. 12 This study was conducted to simulate flow-structure interaction (FSI) and stent-wall interaction by using CFD tool to delineate the flow-induced and stent-induced wall strain distribution on a 3-D vessel model reconstructed from IVUS images. These techniques have been preliminarily validated using clinically acquired IVUS images.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Coronary Wall Strain Distribution Based on 3-D Reconstruction from Intravascular Ultrasound Images

Sun¹,

Siwen²,

Liu³

2015

j med imaging hlth inform

View full text Add to dashboard Cite

Quantitative assessment of coronary wall strain is valuable for evaluating the elasticity of arterial walls and for predicting the vulnerability of atherosclerotic plaques. In this study, a computational fluid dynamics (CFD) analysis of flow-structure interaction (FSI) and stent-wall interaction simulation is presented to describe the local volumetric distribution of the arterial wall strain caused by blood flow and stent implantation from the morphologically realistic 3-D vascular geometry reconstructed from intravascular ultrasound (IVUS) images. The experimental results and in vivo data showed that the morphology of the vessel wall and plaque and strain distribution could be visually displayed. The location of the plaques can be determined. We visually compared the hemodynamic characteristics of normal and pathologically changed tissues according to the wall strain distribution.

show abstract

A new methodology for accurate 3-dimensional coronary artery reconstruction using routine intravascular ultrasound and angiographic data: implications for widespread assessment of endothelial shear stress in humans

Cited by 68 publications

References 30 publications

Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography

Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography

SCEM+: Real-Time Robust Simultaneous Catheter and Environment Modeling for Endovascular Navigation

Estimation of Coronary Wall Strain Distribution Based on 3-D Reconstruction from Intravascular Ultrasound Images

Contact Info

Product

Resources

About