Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography
We present a novel and time-efficient method for intracoronary lumen detection, which produces three-dimensional (3-D) coronary arteries using optical coherence tomographic (OCT) images. OCT images are acquired for multiple patients and longitudinal cross-section (LOCS) images are reconstructed usin...
| Principais autores: | , , , , , , , |
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| Outros Autores: | |
| Formato: | Artigo |
| Publicado em: |
Institute of Electrical and Electronics Engineers (IEEE)
2018
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| Acesso em linha: | http://hdl.handle.net/1721.1/117349 https://orcid.org/0000-0002-9129-7000 https://orcid.org/0000-0002-7832-7156 |
| _version_ | 1826201465809534976 |
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| author | Athanasiou, Lambros Nezami, Farhad Rikhtegar Galon, Micheli Zanotti Lopes, Augusto Celso Lemos, Pedro Alves De La Torre Hernandez, Jose Maria Ben Assa, Eyal Benjamin Edelman, Elazer R |
| author2 | Institute for Medical Engineering and Science |
| author_facet | Institute for Medical Engineering and Science Athanasiou, Lambros Nezami, Farhad Rikhtegar Galon, Micheli Zanotti Lopes, Augusto Celso Lemos, Pedro Alves De La Torre Hernandez, Jose Maria Ben Assa, Eyal Benjamin Edelman, Elazer R |
| author_sort | Athanasiou, Lambros |
| collection | MIT |
| description | We present a novel and time-efficient method for intracoronary lumen detection, which produces three-dimensional (3-D) 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 2-D cross-sectional images. Using two angiographic projections, the centerline of the coronary vessel is reconstructed in 3-D, and the detected 2-D contours are transformed to 3-D and placed perpendicular to the centerline. To validate the proposed method, 613 manual annotations from medical experts were used as gold standard. The 2-D detected contours were compared with the annotated contours, and the 3-D 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 3-D models were extracted and compared with 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 nonoverlapping areas ratio between experts' annotations and presented method was 0.92 and 0.14, respectively. The proposed computer-aided lumen extraction and 3-D vessel reconstruction method is fast, accurate, and likely to assist in a number of research and clinical applications. |
| first_indexed | 2024-09-23T11:52:14Z |
| format | Article |
| id | mit-1721.1/117349 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T11:52:14Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1173492022-10-01T06:36:35Z Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography Athanasiou, Lambros Nezami, Farhad Rikhtegar Galon, Micheli Zanotti Lopes, Augusto Celso Lemos, Pedro Alves De La Torre Hernandez, Jose Maria Ben Assa, Eyal Benjamin Edelman, Elazer R Institute for Medical Engineering and Science De La Torre Hernandez, Jose Maria Ben Assa, Eyal Benjamin Edelman, Elazer R We present a novel and time-efficient method for intracoronary lumen detection, which produces three-dimensional (3-D) 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 2-D cross-sectional images. Using two angiographic projections, the centerline of the coronary vessel is reconstructed in 3-D, and the detected 2-D contours are transformed to 3-D and placed perpendicular to the centerline. To validate the proposed method, 613 manual annotations from medical experts were used as gold standard. The 2-D detected contours were compared with the annotated contours, and the 3-D 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 3-D models were extracted and compared with 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 nonoverlapping areas ratio between experts' annotations and presented method was 0.92 and 0.14, respectively. The proposed computer-aided lumen extraction and 3-D vessel reconstruction method is fast, accurate, and likely to assist in a number of research and clinical applications. 2018-08-13T20:24:40Z 2018-08-13T20:24:40Z 2018-08-13 2018-08-13T18:59:43Z Article http://purl.org/eprint/type/JournalArticle 2168-2194 2168-2208 http://hdl.handle.net/1721.1/117349 Athanasiou, Lambros et al. “Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography.” IEEE Journal of Biomedical and Health Informatics 22, 4 (July 2018): 1168–1176 © 2013 IEEE https://orcid.org/0000-0002-9129-7000 https://orcid.org/0000-0002-7832-7156 http://dx.doi.org/10.1109/JBHI.2017.2762520 IEEE Journal of Biomedical and Health Informatics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Prof. Edelman |
| spellingShingle | Athanasiou, Lambros Nezami, Farhad Rikhtegar Galon, Micheli Zanotti Lopes, Augusto Celso Lemos, Pedro Alves De La Torre Hernandez, Jose Maria Ben Assa, Eyal Benjamin Edelman, Elazer R Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography |
| title | Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography |
| title_full | Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography |
| title_fullStr | Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography |
| title_full_unstemmed | Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography |
| title_short | Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence Tomography |
| title_sort | optimized computer aided segmentation and three dimensional reconstruction using intracoronary optical coherence tomography |
| url | http://hdl.handle.net/1721.1/117349 https://orcid.org/0000-0002-9129-7000 https://orcid.org/0000-0002-7832-7156 |
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