2018
DOI: 10.1016/j.bspc.2017.09.009
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3D reconstruction of coronary arteries and atherosclerotic plaques based on computed tomography angiography images

Abstract: The purpose of this study is to present a new semi-automated methodology for threedimensional (3D) reconstruction of coronary arteries and their plaque morphology using Computed Tomography Angiography (CTA) images. The methodology is summarized in seven stages: pre-processing of the acquired CTA images, extraction of the vessel tree centerline, estimation of a weight function for lumen, outer wall and calcified plaque, lumen segmentation, outer wall segmentation, plaque detection, and finally 3D surfaces const… Show more

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Cited by 46 publications
(33 citation statements)
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“…We found 17 papers focused on the 3D methods of coronary plaques extraction and reconstruction, including 16 original studies ( 28 33 , 47 , 51 56 , 61 , 62 , 64 ), and a review paper ( 72 ). The same method was adopted in Athanasiou et al ( 73 ) and Sakellarios et al ( 52 ).…”
Section: Resultsmentioning
confidence: 99%
“…We found 17 papers focused on the 3D methods of coronary plaques extraction and reconstruction, including 16 original studies ( 28 33 , 47 , 51 56 , 61 , 62 , 64 ), and a review paper ( 72 ). The same method was adopted in Athanasiou et al ( 73 ) and Sakellarios et al ( 52 ).…”
Section: Resultsmentioning
confidence: 99%
“…3D reconstruction of the coronary lumen and outer vessel wall was performed using an in-house software, which provided measurements of lumen area, plaque volume and plaque burden as previously described and validated 12,13 . Finally, baseline and follow-up CTCA scans were co-registered using landmarks such as the bifurcations and calcified objects.…”
Section: Methodsmentioning
confidence: 99%
“…CCTA is an innovative methodology for the diagnosis of CAD and the prediction or future events through the 3D reconstruction of the whole arterial tree. This method is based on filtered back projection (FBP) and includes the following steps [11]: (i) the selection of the region of interest (ROI) using a Frangi Vesselness filter on the preprocessed CCTA images, (ii) the removal of the "blooming effect" from the lumen and outer wall, as well as, for the highly calcified (Ca) and non-calcified (NCa) plaques, where the extraction of the aforementioned characteristics is based on the Hounsfield Units (HU) scale, (iii) the plaque segmentation which is performed through an algorithm that is based on the level set approach which accounts for Ca objects of significant size, and (iv) in the final step the segmented surfaces are connected to construct the 3D models for the lumen, outer wall and plaques.…”
Section: B3) Coronary Computed Tomography Angiographymentioning
confidence: 99%