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Automatic Characterization of the Physiological Condition of the Carotid Artery in 2D Ultrasound Image Sequences Using Spatiotemporal and Spatiospectral 2D Maps
Joint Authors
Azar, Jimmy C.
Hamid Muhammed, Hamed
Source
International Journal of Biomedical Imaging
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-28
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
A novel method for characterizing and visualizing the progression of waves along the walls of the carotid artery is presented.
The new approach is noninvasive and able to simultaneously capture the spatial and the temporal propagation of wavy patterns along the walls of the carotid artery in a completely automated manner.
Spatiotemporal and spatiospectral 2D maps describing these patterns (in both the spatial and the frequency domains, resp.) were generated and analyzed by visual inspection as well as automatic feature extraction and classification.
Three categories of cases were considered: pathological elderly, healthy elderly, and healthy young cases.
Automatic differentiation, between cases of these three categories, was achieved with a sensitivity of 97.1% and a specificity of 74.5%.
Two features were proposed and computed to measure the homogeneity of the spatiospectral 2D map which presents the spectral characteristics of the carotid artery wall’s wavy motion pattern which are related to the physical, mechanical (e.g., elasticity), and physiological properties and conditions along the artery.
These results are promising and confirm the potential of the proposed method in providing useful information which can help in revealing the physiological condition of the cardiovascular system.
American Psychological Association (APA)
Hamid Muhammed, Hamed& Azar, Jimmy C.. 2014. Automatic Characterization of the Physiological Condition of the Carotid Artery in 2D Ultrasound Image Sequences Using Spatiotemporal and Spatiospectral 2D Maps. International Journal of Biomedical Imaging،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-505474
Modern Language Association (MLA)
Hamid Muhammed, Hamed& Azar, Jimmy C.. Automatic Characterization of the Physiological Condition of the Carotid Artery in 2D Ultrasound Image Sequences Using Spatiotemporal and Spatiospectral 2D Maps. International Journal of Biomedical Imaging No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-505474
American Medical Association (AMA)
Hamid Muhammed, Hamed& Azar, Jimmy C.. Automatic Characterization of the Physiological Condition of the Carotid Artery in 2D Ultrasound Image Sequences Using Spatiotemporal and Spatiospectral 2D Maps. International Journal of Biomedical Imaging. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-505474
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505474