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Application of Patient-Specific Computational Fluid Dynamics in Coronary and Intra-Cardiac Flow Simulations: Challenges and Opportunities.
Zhong, Liang; Zhang, Jun-Mei; Su, Boyang; Tan, Ru San; Allen, John C; Kassab, Ghassan S.
Afiliação
  • Zhong L; National Heart Centre Singapore, National Heart Research Institute of Singapore, Singapore, Singapore.
  • Zhang JM; Duke-NUS Medical School, Singapore, Singapore.
  • Su B; National Heart Centre Singapore, National Heart Research Institute of Singapore, Singapore, Singapore.
  • Tan RS; Duke-NUS Medical School, Singapore, Singapore.
  • Allen JC; National Heart Centre Singapore, National Heart Research Institute of Singapore, Singapore, Singapore.
  • Kassab GS; National Heart Centre Singapore, National Heart Research Institute of Singapore, Singapore, Singapore.
Front Physiol ; 9: 742, 2018.
Article em En | MEDLINE | ID: mdl-29997520
ABSTRACT
The emergence of new cardiac diagnostics and therapeutics of the heart has given rise to the challenging field of virtual design and testing of technologies in a patient-specific environment. Given the recent advances in medical imaging, computational power and mathematical algorithms, patient-specific cardiac models can be produced from cardiac images faster, and more efficiently than ever before. The emergence of patient-specific computational fluid dynamics (CFD) has paved the way for the new field of computer-aided diagnostics. This article provides a review of CFD methods, challenges and opportunities in coronary and intra-cardiac flow simulations. It includes a review of market products and clinical trials. Key components of patient-specific CFD are covered briefly which include image segmentation, geometry reconstruction, mesh generation, fluid-structure interaction, and solver techniques.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article