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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
المؤلفون المشاركون
Azar, Jimmy C.
Hamid Muhammed, Hamed
المصدر
International Journal of Biomedical Imaging
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-05-28
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-505474
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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