Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid-structure interaction models and machine learning methods with patient follow-up data: a feasibility study.
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| Title: | Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid-structure interaction models and machine learning methods with patient follow-up data: a feasibility study. |
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| Authors: | Guo, Xiaoya1,2 (AUTHOR) guoxiaoya1990@163.com, Maehara, Akiko3 (AUTHOR), Matsumura, Mitsuaki3 (AUTHOR), Wang, Liang4 (AUTHOR), Zheng, Jie5 (AUTHOR), Samady, Habib6 (AUTHOR), Mintz, Gary S.3 (AUTHOR), Giddens, Don P.6,7 (AUTHOR), Tang, Dalin2,8 (AUTHOR) dtang@wpi.edu |
| Source: | BioMedical Engineering OnLine. 4/6/2021, Vol. 20 Issue 1, p1-18. 18p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 1475925X |
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| DOI: | 10.1186/s12938-021-00868-6 |
