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http://repository.futminna.edu.ng:8080/jspui/handle/123456789/17611
Title: | Computational MR Model for Characterizing Atherosclerotic Plaques Morphology and Composition |
Authors: | Dada, Michael Awojoyogbe, Bamidele Ogbonna, Adimchinobi Jayeoba, Babatunde |
Keywords: | Computational MRI atherosclerotic plaques plaque features plaque pathogenicity |
Issue Date: | 23-Jul-2016 |
Publisher: | Springer Nature Switzerland |
Citation: | Dada, O. M., Awojoyogbe, O. B., Ogbonna, N. A., & Jayeoba O. B. (2016). Computational MR Model for Characterizing Atherosclerotic Plaques Morphology and Composition. In the Proceedings of the World Molecular Imaging Congress (WMIC) September 2-5, 2015, Hawaii, United States [Molecular Imaging and Biology (2016) 18(Suppl 1): 1]. |
Series/Report no.: | Curriculum Vitae;36 |
Abstract: | Most studies of atherosclerotic plaques have focused on the assessment of degree of stenosis [1]. However, an anomaly has been noticed which suggests that plaque size is not always a determining factor in patient symptomatology and that other plaque features may play a significant role in plaque pathogenicity [1]. Recent clinical and patho-anatomic observations indicate that plaque composition and biology are more significant determinant than plaque size in the development of thrombus-mediated acute coronary syndromes [1]. Thus clinical risk may correlate more closely with plaque morphology and surface features than with size [1]. This possibility emphasizes the importance of developing non-invasive imaging methods for characterizing plaque morphology and composition in addition to determining lumen area and wall thickness. |
Description: | https://link.springer.com/article/10.1007/s11307-016-0969-2 |
URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/17611 |
Appears in Collections: | Physics |
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