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Atherosclerosis Plaque Stress Analysis: A Review

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Multi-Modality Atherosclerosis Imaging and Diagnosis

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Abstract

Stroke has been considered to be one of the leading causes of death all over the world. Although many studies have been conducted to understand the mechanism of plaque rupture, which leads to stroke, the exact mechanism still remains unclear. It has been widely accepted that both plaque morphology and biomechanical environment of the plaques will affect plaque vulnerability. Since 1990s, many studies have been devoted to plaque stress analysis in order to demonstrate the possible links between plaque rupture and abnormal plaque stress conditions. In this chapter, plaque wall stress analysis will be reviewed from 2D to 3D, from idealized models to patient-specific plaques in terms of geometrical accuracy, and from structure analysis only to fluid–structure interaction (FSI) analysis, with computational examples from our group.

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Acknowledgements

This project is supported by the British Heart Foundation (FS/06/048). The authors like to thank Dr ZY Li, Dr M Graves, MD, and JH Gillard from Department of Radiology, Cambridge University, for their contributions to all MR images, and collaborations in the project.

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Authors and Affiliations

  1. School of Mathematics and Statistics, University of Glasgow, Glasgow, UK

    Hao Gao

  2. Brunel Institute for Bioengineering, Brunel University, London, UK

    Quan Long

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Editors and Affiliations

  1. Department of Radiology, A.O.U Cagliari - Polo di Monserrato, Bivio per Sestu, Italy

    Luca Saba

  2. Instituto Superior TĂ©cnico Institute for Systems and Robotics, Lisboa, Portugal

    JoĂŁo Miguel Sanches

  3. Hospital de Santa Maria, Lisboa, Portugal

    LuĂ­s Mendes Pedro

  4. Stroke Research and Monitoring Division, AtheroPoint(TM) LLC, Roseville, California, USA

    Jasjit S. Suri

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Gao, H., Long, Q. (2014). Atherosclerosis Plaque Stress Analysis: A Review. In: Saba, L., Sanches, J., Pedro, L., Suri, J. (eds) Multi-Modality Atherosclerosis Imaging and Diagnosis. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7425-8_7

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