Cargando…
Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms
Coronary artery disease (CAD) is the most common type of heart disease in western countries. Early detection and diagnosis of CAD is quintessential to preventing mortality and subsequent complications. We believe hemodynamic data derived from patient-specific computational models could facilitate mo...
Autores principales: | Zifan, Ali, Liatsis, Panos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4925948/ https://www.ncbi.nlm.nih.gov/pubmed/27403203 http://dx.doi.org/10.1155/2016/2695962 |
Ejemplares similares
-
A Lightweight Network for Accurate Coronary Artery Segmentation Using X-Ray Angiograms
por: Tao, Xingxiang, et al.
Publicado: (2022) -
Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram
por: Xiao, Ruoxiu, et al.
Publicado: (2015) -
PCA-derived respiratory motion surrogates from X-ray angiograms for percutaneous coronary interventions
por: Ma, Hua, et al.
Publicado: (2015) -
Non-Calcified Coronary Artery Plaque on Coronary Computed Tomography Angiogram: Prevalence and Significance
por: Alyami, Bandar, et al.
Publicado: (2023) -
A Novel Multiscale Gaussian-Matched Filter Using Neural Networks for the Segmentation of X-Ray Coronary Angiograms
por: Cruz-Aceves, Ivan, et al.
Publicado: (2018)