Prediction of coronary plaque location on arteries having myocardial bridge, using finite element models
• We evaluated the influences of the myocardial bridges on the plaque localization in the coronary arteries. • We investigated the prediction of “the best” position for plaque progression using WSS, OSI and residence time. • A good correlation between positions of the plaque at the proximal part of...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Nikolić, Dalibor [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Umfang: |
8 |
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| Übergeordnetes Werk: |
Enthalten in: Dynamic measurement of stay-cable force using digital image techniques - Du, Wenkang ELSEVIER, 2019, an international journal devoted to the development, implementation and exchange of computing methodology and software systems in biomedical research and medical practice, Amsterdam |
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| Übergeordnetes Werk: |
volume:117 ; year:2014 ; number:2 ; pages:137-144 ; extent:8 |
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| DOI / URN: |
10.1016/j.cmpb.2014.07.012 |
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| 520 | |a • We evaluated the influences of the myocardial bridges on the plaque localization in the coronary arteries. • We investigated the prediction of “the best” position for plaque progression using WSS, OSI and residence time. • A good correlation between positions of the plaque at the proximal part of MB with WSS, OSI and residence time. • This computer model could be additional predictive tool for everyday clinical examination. | ||
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Prediction of coronary plaque location on arteries having myocardial bridge, using finite element models |
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• We evaluated the influences of the myocardial bridges on the plaque localization in the coronary arteries. • We investigated the prediction of “the best” position for plaque progression using WSS, OSI and residence time. • A good correlation between positions of the plaque at the proximal part of MB with WSS, OSI and residence time. • This computer model could be additional predictive tool for everyday clinical examination. |
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• We evaluated the influences of the myocardial bridges on the plaque localization in the coronary arteries. • We investigated the prediction of “the best” position for plaque progression using WSS, OSI and residence time. • A good correlation between positions of the plaque at the proximal part of MB with WSS, OSI and residence time. • This computer model could be additional predictive tool for everyday clinical examination. |
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• We evaluated the influences of the myocardial bridges on the plaque localization in the coronary arteries. • We investigated the prediction of “the best” position for plaque progression using WSS, OSI and residence time. • A good correlation between positions of the plaque at the proximal part of MB with WSS, OSI and residence time. • This computer model could be additional predictive tool for everyday clinical examination. |
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