Three-dimensional reconstruction of coronary arteries and plaque morphology using CT angiography – comparison and registration with IVUS
Open accessAbstract
BACKGROUND: The aim of this study is to present a new methodology for three-dimensional (3D) reconstruction of coronary arteries and plaque morphology using Computed Tomography Angiography (CTA). METHODS: The methodology is summarized in six stages: 1) pre-processing of the initial raw images, 2) rough estimation of the lumen and outer vessel wall borders and approximation of the vessel's centerline, 3) manual adaptation of plaque parameters, 4) accurate extraction of the luminal centerline, 5) detection of the lumen - outer vessel wall borders and calcium plaque region, and 6) finally 3D surface construction. RESULTS: The methodology was compared to the estimations of a recently presented Intravascular Ultrasound (IVUS) plaque characterization method. The correlation coefficients for calcium volume, surface area, length and angle vessel were 0.79, 0.86, 0.95 and 0.88, respectively. Additionally, when comparing the inner and outer vessel wall volumes of the reconstructed arteries produced by IVUS and CTA the observed correlation was 0.87 and 0.83, respectively. CONCLUSIONS: The results indicated that the proposed methodology is fast and accurate and thus it is likely in the future to have applications in research and clinical arena.
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Feature-based registration appears more suitable in the case of vessels' contours and centerline, while intensity-based registration can be effectively used for image slices depicting abnormal morphologies such as tumors.
“To that respect, feature-based registration appears more suitable in the case of vessels’ contours and centerline [196], while the intensity-based registration can be effectively used for image slices depicting abnormal morphologies such as tumors [197].”
From AI in Medical Imaging Informatics: Current Challenges and Future Directions (2020) · cites this paper as [196]
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“[18].”
Kutty, S. B., Rahmat, R. W. O. K., Kassim, S. S., Madzin, H., & Hamdan, H. (2020) · Bulletin of Electrical Engineering and Informatics · doi:10.11591/eei.v10i1.2694 · Cited by 2 · see citing works
“To overcome this problem, medical image registration was used to combine both modalities [10-12].”
Method3-D construction of artery model using real time two dimensional CTA dataset
Taware, V. S., & Choudhari, P. C. (2017) · IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology · doi:10.1109/rteict.2017.8256615 · Cited by 1 · see citing works
“The user defines a seed point initially, and using closely-spaced-pixelsconnectivity the arterial border is extracted [10-13].”
BackgroundMethodEfficient Approach for 3D Segmentation of Brain Tumor Based on MRI Slices Using ITK and VTK Toolkits
Baali, M., Bourbia, N., Rania, B., Cherif, A. K. M., & Messaoudi, K. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-1109-9_30 · Cited by 1 · see citing works
Datz, J., Steinbrecher, I., Krefting, J., Engel, L., Popp, A., Pfaller, M. R., Schunkert, H., & Wall, W. A. (2026) · Journal of Biomechanical Engineering · doi:10.1115/1.4071133 · Cited by 1 · see citing works
Sakellarios, A. I., Karanasiou, G. S., Siogkas, P. K., Kigka, V., Exarchos, T. P., Rigas, G., Michalis, L. K., & Fotiadis, D. I. (2017) · Springer eBooks · doi:10.1007/978-3-319-54481-6_4 · Cited by 1 · see citing works
Self-citationModeling of blood vessel in three dimensions using CT angiography data
Taware, V. S., & Choudhari, P. C. (2017) · International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) · doi:10.1109/wispnet.2017.8299937 · Cited by 1 · see citing works
“projecting these 2D images in 3D plane using separation between frames on third axis [10], [14].”
BackgroundMethods for Three-Dimensional Reconstruction of Coronary Arteries and Plaque
Athanasiou, L. S., Fotiadis, D. I., & Michalis, L. K. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804734-7.00007-5 · Cited by 1 · see citing works
Self-citationValidation Using Histological and Micro-CT Data
Athanasiou, L. S., Fotiadis, D. I., & Michalis, L. K. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804734-7.00009-9
Self-citationAthanasiou, L. S., Fotiadis, D. I., & Michalis, L. K. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804734-7.00011-7
Self-citationResearch on 3 dimensional reconstruction of CT images based on improved filtering algorithm
Jiang, G., Luo, M., Chen, S., Jiang, G., & Bai, K. (2018) · IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) · doi:10.1109/icmimt.2018.8340450
“The 2D image sequence medical image generated by the equipment contained in the 3D information of human tissues and organs, for the two-dimensional image analysis and processing [7], and it can realize the extraction of lesion segmentation for human tissue and organ, 3D reconstruction model of organs and lesions, the…”
BackgroundBlood flow modelling in arteries with deformable walls
Siogkas, P. K. (2018) · doi:10.12681/eadd/43783
Self-citationRisk Stratification for Adverse Events after Carotid Endarterectomy
Timmerman, N. (2021) · doi:10.33540/917
COMPUTER MODELING OF STENT DEPLOYMENT AND PLAQUE PROGRESSION IN THE CORONARY ARTERIES
Filipović, N., Isailovic, V. M., Milošević, Ž., Nikolić, D. D., Saveljic, I. B., Đukić, T., Nikolic, M. M., Cirkovic, B. A., Exarchos, T. P., Fotiadis, D. I., et al. (2018) · Contemporary Materials · doi:10.7251/comen1801001f
“A semi-automated methodology for 3D reconstruction of arteries and their plaque morphology using CTCA was presented by Athanasiou et al. [22] showing that CTCA can be used for the accurate assessment and reconstruction of coronary arteries.”
MethodInfluentialSelf-citationFluid Dynamics–Derived Parameters in Coronary Vessels
Siogkas, P. K., Kalykakis, G.-E., Anagnostopoulos, C., & Exarchos, T. P. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-78771-4_32
Self-citationSiogkas, P. K., Kalykakis, G.-E., Anagnostopoulos, C., & Exarchos, T. P. (2020) · Journal of the Serbian Society for Computational Mechanics · doi:10.24874/jsscm.2021.15.02.03
Self-citationNon-calcified plaque-based coronary stenosis grading in contrast enhanced CT
Jawaid, M. M., Narejo, S., Riaz, F., Reyes‐Aldasoro, C. C., Slabaugh, G., & Brown, J. M. (2024) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2024.104182
Computational Framework for Parametric Tissue Modeling
Loukas, V. S., Kotoulas, G. G., Athanasiou, L. S., Sakellarios, A. I., Nikopoulos, S., Katsouras, C. C., Michalis, L. K., Semertzioglou, A., Moulas, A. N., & Fotiadis, D. I. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11254423
“Therefore, in recent years, many efforts have been made to study CHD and design an effective treat-ment using traditional methods and techniques to conduct a 3-dimensional (3D) reconstruction of the vascular geometry [4] along with its atherosclerotic plaque [5].”
Self-citationNon-calcified coronary plaque quantification in CT images using voxel-based descriptive features
Memon, S. Q., Brown, J. M., & Jawaid, M. M. (2025) · Forensic Imaging · doi:10.1016/j.fri.2025.200664
Dual-modal optical coherence tomography endoscopy for true volumetric intravascular imagingPreprint
Liao, C., Liu, D., Huang, Z., Su, C., Tai, Y., Xiao, S., Xu, L., Zhu, D., Wang, Y., Zhu, R., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-9363048/v1
- Authors
- Athanasiou, L., Rigas, G., Sakellarios, A. I., Exarchos, T. P., Siogkas, P. K., Bourantas, C. V., Garcia-Garcia, H. M., Lemos, P. A., Falcao, B. A., Michalis, L. K., Parodi, O., Vozzi, F., & Fotiadis, D. I.
- Affiliations
- University of Ioannina (GR)
- University College London (GB)
- Universidade de São Paulo (BR)
- Istituto di Fisiologia Clinica (IT)
- Corresponding author
- Fotiadis, Dimitrios I.
- ORCID
- Venue
- BMC Medical Imaging
- Published
- 2016-01-19
- Volume
- 16
- Issue
- 1
- Pages
- 9-9
- ISSN
- 1471-2342 (ISSN-L)
- PMC
- PMC4719213
- OpenAlex
- W2259710953
- Cited by
- 48
- References
- 38
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 2 · 2023: 1 · 2022: 2 · 2021: 5 · 2020: 5 · 2019: 3 · 2018: 10 · 2017: 13 · 2016: 1 · 2015: 1
- FWCI
- 7.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Medical Imaging (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Funders
- European Commission (224297)
- Fundação de Amparo à Pesquisa do Estado de São Paulo (05/56933-9)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Surgery › Coronary Interventions and Diagnostics
- Keywords
- coronary arteries, atherosclerotic plaque, plaque morphology, 3D reconstruction, CT angiography, intravascular ultrasound, plaque characterization, calcium volume, vessel wall volume, centerline extraction, image registration, coronary CT angiography
- MeSH terms
- Algorithms, Coronary Vessels, Humans, Tomography, X-Ray Computed, Coronary Angiography, Ultrasonography, Interventional, Imaging, Three-Dimensional, Plaque, Atherosclerotic
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