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3D Reconstruction with Coronary Artery Based on Curve Descriptor and Projection Geometry-Constrained Vasculature Matching. INFORMATION 2022. [DOI: 10.3390/info13010038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
This paper presents a novel method based on a curve descriptor and projection geometry constrained for vessel matching. First, an LM (Leveberg–Marquardt) algorithm is proposed to optimize the matrix of geometric transformation. Combining with parameter adjusting and the trust region method, the error between 3D reconstructed vessel projection and the actual vessel can be minimized. Then, CBOCD (curvature and brightness order curve descriptor) is proposed to indicate the degree of the self-occlusion of blood vessels during angiography. Next, the error matrix constructed from the error of epipolar matching is used in point pairs matching of the vascular through dynamic programming. Finally, the recorded radius of vessels helps to construct ellipse cross-sections and samples on it to get a point set around the centerline and the point set is converted to mesh for reconstructing the surface of vessels. The validity and applicability of the proposed methods have been verified through experiments that result in the significant improvement of 3D reconstruction accuracy in terms of average back-projection errors. Simultaneously, due to precise point-pair matching, the smoothness of the reconstructed 3D coronary artery is guaranteed.
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Blanco PJ, Bulant CA, Bezerra CG, Maso Talou GD, Pinton FA, Ziemer PGP, Feijóo RA, García-García HM, Lemos PA. Coronary arterial geometry: A comprehensive comparison of two imaging modalities. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2021; 37:e3442. [PMID: 33522112 DOI: 10.1002/cnm.3442] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/14/2020] [Accepted: 01/23/2021] [Indexed: 06/12/2023]
Abstract
The characterization of vascular geometry is a fundamental step towards the correct interpretation of coronary artery disease. In this work, we report a comprehensive comparison of the geometry featured by coronary vessels as obtained from coronary computed tomography angiography (CCTA) and the combination of intravascular ultrasound (IVUS) with bi-plane angiography (AX) modalities. We analyzed 34 vessels from 28 patients with coronary disease, which were deferred to CCTA and IVUS procedures. We discuss agreement and discrepancies between several geometric indexes extracted from vascular geometries. Such an analysis allows us to understand to which extent the coronary vascular geometry can be reliable in the interpretation of geometric risk factors, and as a surrogate to characterize coronary artery disease.
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Affiliation(s)
- Pablo J Blanco
- National Laboratory for Scientific Computing, Petrópolis, Brazil
- National Institute of Science and Technology in Medicine Assisted by Scientific Computing, Petrópolis, Brazil
| | - Carlos A Bulant
- National Institute of Science and Technology in Medicine Assisted by Scientific Computing, Petrópolis, Brazil
- National Scientific and Technical Research Council, CONICET and National University of the Center, Tandil, Argentina
| | - Cristiano G Bezerra
- Department of Interventional Cardiology, Heart Institute (InCor) and the University of São Paulo Medical School, São Paulo, Brazil
| | - Gonzalo D Maso Talou
- National Institute of Science and Technology in Medicine Assisted by Scientific Computing, Petrópolis, Brazil
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Fabio A Pinton
- Department of Interventional Cardiology, Heart Institute (InCor) and the University of São Paulo Medical School, São Paulo, Brazil
| | - Paulo G P Ziemer
- National Laboratory for Scientific Computing, Petrópolis, Brazil
- National Institute of Science and Technology in Medicine Assisted by Scientific Computing, Petrópolis, Brazil
| | - Raúl A Feijóo
- National Laboratory for Scientific Computing, Petrópolis, Brazil
- National Institute of Science and Technology in Medicine Assisted by Scientific Computing, Petrópolis, Brazil
| | - Héctor M García-García
- MedStar Washington Hospital Center - Interventional Cardiology department, Washington, DC, USA
- Georgetown University School of Medicine, Washington, DC, USA
| | - Pedro A Lemos
- National Institute of Science and Technology in Medicine Assisted by Scientific Computing, Petrópolis, Brazil
- Department of Interventional Cardiology, Heart Institute (InCor) and the University of São Paulo Medical School, São Paulo, Brazil
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Tong J, Wang F, Li M, Xia S, Lin W. The optimization of parameters and matching point pairs in the 3D reconstruction of coronary artery. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2021.102534] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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