Estimation of Diastolic Biomarkers: Sensitiviy to Fibre Orientation

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• 作者：Sander Land (19)
  Steve Niederer (19)
  Pablo Lamata (19) (20)
  
• 关键词：Cardiac computational physiology ; Diastolic biomarkers ; Model personalization ; Fibre orientation
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：8896
• 期：1
• 页码：105-113
• 全文大小：3,703 KB
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  3. Gil, D., et al.: What a difference in biomechanics cardiac fiber makes. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds.) STACOM 2012. LNCS, vol. 7746, pp. 253鈥?60. Springer, Heidelberg (2013)
  4. Imperiale, A., Routier, A., Durrleman, S., Moireau, P.: Improving efficiency of data assimilation procedure for a biomechanical heart model by representing surfaces as currents. In: Ourselin, S., Rueckert, D., Smith, N. (eds.) FIMH 2013. LNCS, vol. 7945, pp. 342鈥?51. Springer, Heidelberg (2013) CrossRef
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  6. Lamata, P., Niederer, S., Plank, G., Smith, N.: Generic conduction parameters for predicting activation waves in customised cardiac electrophysiology models. In: Camara, O., Pop, M., Rhode, K., Sermesant, M., Smith, N., Young, A. (eds.) STACOM 2010. LNCS, vol. 6364, pp. 252鈥?60. Springer, Heidelberg (2010) CrossRef
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  17. Xi, J., Lamata, P., Niederer, S., Land, S., Shi, W., Zhuang, X., Ourselin, S., Duckett, S.G., Shetty, A.K., Rinaldi, C.A., Rueckert, D., Razavi, R., Smith, N.P.: The estimation of patient-specific cardiac diastolic functions from clinical measurements. Medical Image Analysis 17(2), 133鈥?46 (2013) CrossRef
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• 作者单位：Sander Land (19)
  Steve Niederer (19)
  Pablo Lamata (19) (20)
  
  19. Department of Biomedical Engineering, King鈥檚 College London, London, UK
  20. Deptartment of Computer Science, University of Oxford, Oxford, UK
  
• 丛书名：Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges
• ISBN：978-3-319-14678-2
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

An accurate estimation of myocardial stiffness and decaying active tension is critical for the characterization of the diastolic function of the heart. Computational cardiac models can be used to analyse deformation and pressure data from the left ventricle in order to estimate these diastolic metrics. The results of this methodology depend on several model assumptions. In this work we reveal a nominal impact of the choice of myocardial fibre orientation between a rule-based description and personalised approach based on diffusion-tensor magnetic resonance imaging. This result suggests the viability of simplified clinical imaging protocols for the model-based estimation of diastolic biomarkers.