Combining IVUS + OCT Data, Biomechanical Models and Machine Learning Method for Accurate Coronary Plaque Morphology Quantification and Cap Thickness and Stress/Strain Index Predictions

Assessment and prediction of vulnerable plaque progression and rupture risk are of utmost importance for diagnosis, management and treatment of cardiovascular diseases and possible prevention of acute cardiovascular events such as heart attack and stroke. However, accurate assessment of plaque vulne...

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Detalles Bibliográficos
Autores principales: Lv, Rui, Wang, Liang, Maehara, Akiko, Matsumura, Mitsuaki, Guo, Xiaoya, Samady, Habib, Giddens, Don P., Zheng, Jie, Mintz, Gary S., Tang, Dalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864708/
https://www.ncbi.nlm.nih.gov/pubmed/36662088
http://dx.doi.org/10.3390/jfb14010041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864708/
https://www.ncbi.nlm.nih.gov/pubmed/36662088
http://dx.doi.org/10.3390/jfb14010041

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