Human Coronary Plaque Optical Coherence Tomography Image Repairing, Multilayer Segmentation and Impact on Plaque Stress/Strain Calculations
Coronary vessel layer structure may have a considerable impact on plaque stress/strain calculations. Most current plaque models use single-layer vessel structures due to the lack of available multilayer segmentation techniques. In this paper, an automatic multilayer segmentation and repair method wa...
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MDPI AG
2022-11-01
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| Series: | Journal of Functional Biomaterials |
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| Online Access: | https://www.mdpi.com/2079-4983/13/4/213 |
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| author | Mengde Huang Akiko Maehara Dalin Tang Jian Zhu Liang Wang Rui Lv Yanwen Zhu Xiaoguo Zhang Mitsuaki Matsumura Lijuan Chen Genshan Ma Gary S. Mintz |
| author_facet | Mengde Huang Akiko Maehara Dalin Tang Jian Zhu Liang Wang Rui Lv Yanwen Zhu Xiaoguo Zhang Mitsuaki Matsumura Lijuan Chen Genshan Ma Gary S. Mintz |
| author_sort | Mengde Huang |
| collection | DOAJ |
| description | Coronary vessel layer structure may have a considerable impact on plaque stress/strain calculations. Most current plaque models use single-layer vessel structures due to the lack of available multilayer segmentation techniques. In this paper, an automatic multilayer segmentation and repair method was developed to segment coronary optical coherence tomography (OCT) images to obtain multilayer vessel geometries for biomechanical model construction. Intravascular OCT data were acquired from six patients (one male; mean age: 70.0) using a protocol approved by the local institutional review board with informed consent obtained. A total of 436 OCT slices were selected in this study. Manually segmented data were used as the gold standard for method development and validation. The edge detection method and cubic spline surface fitting were applied to detect and repair the internal elastic membrane (IEM), external elastic membrane (EEM) and adventitia–periadventitia interface (ADV). The mean errors of automatic contours compared to manually segmented contours were 1.40%, 4.34% and 6.97%, respectively. The single-layer mean plaque stress value from lumen was 117.91 kPa, 10.79% lower than that from three-layer models (132.33 kPa). On the adventitia, the single-layer mean plaque stress value was 50.46 kPa, 156.28% higher than that from three-layer models (19.74 kPa). The proposed segmentation technique may have wide applications in vulnerable plaque research. |
| first_indexed | 2024-03-09T16:16:07Z |
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| institution | Directory Open Access Journal |
| issn | 2079-4983 |
| language | English |
| last_indexed | 2024-03-09T16:16:07Z |
| publishDate | 2022-11-01 |
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| series | Journal of Functional Biomaterials |
| spelling | doaj.art-b913d94587f44c89a4278b7e91000e032023-11-24T15:49:35ZengMDPI AGJournal of Functional Biomaterials2079-49832022-11-0113421310.3390/jfb13040213Human Coronary Plaque Optical Coherence Tomography Image Repairing, Multilayer Segmentation and Impact on Plaque Stress/Strain CalculationsMengde Huang0Akiko Maehara1Dalin Tang2Jian Zhu3Liang Wang4Rui Lv5Yanwen Zhu6Xiaoguo Zhang7Mitsuaki Matsumura8Lijuan Chen9Genshan Ma10Gary S. Mintz11School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, ChinaThe Cardiovascular Research Foundation, Columbia University, New York, NY 10019, USASchool of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, ChinaDepartment of Cardiology, Zhongda Hospital, Southeast University, Nanjing 210009, ChinaSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, ChinaDepartment of Cardiology, Zhongda Hospital, Southeast University, Nanjing 210009, ChinaThe Cardiovascular Research Foundation, Columbia University, New York, NY 10019, USADepartment of Cardiology, Zhongda Hospital, Southeast University, Nanjing 210009, ChinaDepartment of Cardiology, Zhongda Hospital, Southeast University, Nanjing 210009, ChinaThe Cardiovascular Research Foundation, Columbia University, New York, NY 10019, USACoronary vessel layer structure may have a considerable impact on plaque stress/strain calculations. Most current plaque models use single-layer vessel structures due to the lack of available multilayer segmentation techniques. In this paper, an automatic multilayer segmentation and repair method was developed to segment coronary optical coherence tomography (OCT) images to obtain multilayer vessel geometries for biomechanical model construction. Intravascular OCT data were acquired from six patients (one male; mean age: 70.0) using a protocol approved by the local institutional review board with informed consent obtained. A total of 436 OCT slices were selected in this study. Manually segmented data were used as the gold standard for method development and validation. The edge detection method and cubic spline surface fitting were applied to detect and repair the internal elastic membrane (IEM), external elastic membrane (EEM) and adventitia–periadventitia interface (ADV). The mean errors of automatic contours compared to manually segmented contours were 1.40%, 4.34% and 6.97%, respectively. The single-layer mean plaque stress value from lumen was 117.91 kPa, 10.79% lower than that from three-layer models (132.33 kPa). On the adventitia, the single-layer mean plaque stress value was 50.46 kPa, 156.28% higher than that from three-layer models (19.74 kPa). The proposed segmentation technique may have wide applications in vulnerable plaque research.https://www.mdpi.com/2079-4983/13/4/213coronaryvulnerable plaquecoronary plaque modelsmultilayer vessel geometry |
| spellingShingle | Mengde Huang Akiko Maehara Dalin Tang Jian Zhu Liang Wang Rui Lv Yanwen Zhu Xiaoguo Zhang Mitsuaki Matsumura Lijuan Chen Genshan Ma Gary S. Mintz Human Coronary Plaque Optical Coherence Tomography Image Repairing, Multilayer Segmentation and Impact on Plaque Stress/Strain Calculations Journal of Functional Biomaterials coronary vulnerable plaque coronary plaque models multilayer vessel geometry |
| title | Human Coronary Plaque Optical Coherence Tomography Image Repairing, Multilayer Segmentation and Impact on Plaque Stress/Strain Calculations |
| title_full | Human Coronary Plaque Optical Coherence Tomography Image Repairing, Multilayer Segmentation and Impact on Plaque Stress/Strain Calculations |
| title_fullStr | Human Coronary Plaque Optical Coherence Tomography Image Repairing, Multilayer Segmentation and Impact on Plaque Stress/Strain Calculations |
| title_full_unstemmed | Human Coronary Plaque Optical Coherence Tomography Image Repairing, Multilayer Segmentation and Impact on Plaque Stress/Strain Calculations |
| title_short | Human Coronary Plaque Optical Coherence Tomography Image Repairing, Multilayer Segmentation and Impact on Plaque Stress/Strain Calculations |
| title_sort | human coronary plaque optical coherence tomography image repairing multilayer segmentation and impact on plaque stress strain calculations |
| topic | coronary vulnerable plaque coronary plaque models multilayer vessel geometry |
| url | https://www.mdpi.com/2079-4983/13/4/213 |
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