A Three-Dimensional Quantification of Calcified and Non-calcified Plaque Based on Computed Tomography Coronary Angiography Images: Comparison with Virtual Histology Intravascular Ultrasound

Kigka, Vassiliki I.; Sakellarios, Antonis I.; Rigas, George; Tsobou, Panagiota I.; Andrikos, Ioannis; Michalis, Lampros K.; Fotiadis, Dimitrios I.

doi:10.1007/978-981-10-9035-6_37

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…The current literature contains several studies which present the segmentation and analysis of CTCA images [ 15 , 16 , 17 ]. In this work, the 3D reconstruction and plaque characterization tool integrates a methodology previously developed and validated in [ 18 , 19 , 20 ]. Briefly, the methodology consists of six different steps and is implemented with 2D axial CTCA images.…”

Section: Methodsmentioning

confidence: 99%

An All-in-One Tool for 2D Atherosclerotic Disease Assessment and 3D Coronary Artery Reconstruction

Kyriakidis

Rigas

Kigka

et al. 2023

JCDD

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Diagnosis of coronary artery disease is mainly based on invasive imaging modalities such as X-ray angiography, intravascular ultrasound (IVUS) and optical coherence tomography (OCT). Computed tomography coronary angiography (CTCA) is also used as a non-invasive imaging alternative. In this work, we present a novel and unique tool for 3D coronary artery reconstruction and plaque characterization using the abovementioned imaging modalities or their combination. In particular, image processing and deep learning algorithms were employed and validated for the lumen and adventitia borders and plaque characterization at the IVUS and OCT frames. Strut detection is also achieved from the OCT images. Quantitative analysis of the X-ray angiography enables the 3D reconstruction of the lumen geometry and arterial centerline extraction. The fusion of the generated centerline with the results of the OCT or IVUS analysis enables hybrid coronary artery 3D reconstruction, including the plaques and the stent geometry. CTCA image processing using a 3D level set approach allows the reconstruction of the coronary arterial tree, the calcified and non-calcified plaques as well as the detection of the stent location. The modules of the tool were evaluated for efficiency with over 90% agreement of the 3D models with the manual annotations, while a usability assessment using external evaluators demonstrated high usability resulting in a mean System Usability Scale (SUS) score equal to 0.89, classifying the tool as “excellent”.

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Section: Methodsmentioning

confidence: 99%

An All-in-One Tool for 2D Atherosclerotic Disease Assessment and 3D Coronary Artery Reconstruction

Kyriakidis

Rigas

Kigka

et al. 2023

JCDD

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“…The proposed methodology is an extension of an already existing methodology for the 3D reconstruction of coronary arteries [12,13] and is calibrated for the carotid arteries.…”

Section: Methodsmentioning

confidence: 99%

Three-Dimensional Reconstruction of Carotid Arteries Using Computed Tomography Angiography

Kigka

Kyriakidis

Sakellarios

et al. 2020

8th European Medical and Biological Engineering Conference

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Carotid artery disease is considered as the pathological disease of carotid arteries and is considered as a principal cause of stroke. Therefore, early diagnosis of carotid artery disease is of high clinical importance. This study aims to present an overall methodology for the accurate identification of the inner wall, outer wall and the atherosclerotic plaques (calcified and non-calcified) of the carotid arteries. The proposed methodology is based on a level set based approach, which is fully adapted in each computed tomography acquisition protocol. Briefly, the methodology includes the following steps: (i) the estimation of intensity membership functions for the inner wall, the outer wall and CP, (ii) the carotid artery centerline extraction, (iii) the inner wall, outer wall and calcified plaques segmentation, (iv) the noncalcified plaques segmentation and finally (v) the 3D models construction. The segmentation accuracy of the proposed methodology has been validated against manual expert's annotations in 4 patients, and more specifically in 300 computed tomography angiography slices for the inner wall segmentation and in 30 slices as far as the atherosclerotic plaques is concerned. The utilized evaluation metrics were the Dice coefficient and the Hausdorff Distance and our very first results are promising for the accurate and automated segmentation of carotid arteries.

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Site specific prediction of atherosclerotic plaque progression using computational biomechanics and machine learning

Kigka¹,

Sakellarios²,

Tsompou

et al. 2019

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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A Three-Dimensional Quantification of Calcified and Non-calcified Plaque Based on Computed Tomography Coronary Angiography Images: Comparison with Virtual Histology Intravascular Ultrasound

Cited by 3 publications

References 17 publications

An All-in-One Tool for 2D Atherosclerotic Disease Assessment and 3D Coronary Artery Reconstruction

An All-in-One Tool for 2D Atherosclerotic Disease Assessment and 3D Coronary Artery Reconstruction

Three-Dimensional Reconstruction of Carotid Arteries Using Computed Tomography Angiography

Site specific prediction of atherosclerotic plaque progression using computational biomechanics and machine learning

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