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Automatic Vasculature Identification in Coronary Angiograms by Adaptive Geometrical Tracking
المؤلفون المشاركون
Yang, Jian
Goyal, Mahima
Wang, Yongtian
Xiao, Ruoxiu
Liu, Yue
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-10-22
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
As the uneven distribution of contrast agents and the perspective projection principle of X-ray, the vasculatures in angiographic image are with low contrast and are generally superposed with other organic tissues; therefore, it is very difficult to identify the vasculature and quantitatively estimate the blood flow directly from angiographic images.
In this paper, we propose a fully automatic algorithm named adaptive geometrical vessel tracking (AGVT) for coronary artery identification in X-ray angiograms.
Initially, the ridge enhancement (RE) image is obtained utilizing multiscale Hessian information.
Then, automatic initialization procedures including seed points detection, and initial directions determination are performed on the RE image.
The extracted ridge points can be adjusted to the geometrical centerline points adaptively through diameter estimation.
Bifurcations are identified by discriminating connecting relationship of the tracked ridge points.
Finally, all the tracked centerlines are merged and smoothed by classifying the connecting components on the vascular structures.
Synthetic angiographic images and clinical angiograms are used to evaluate the performance of the proposed algorithm.
The proposed algorithm is compared with other two vascular tracking techniques in terms of the efficiency and accuracy, which demonstrate successful applications of the proposed segmentation and extraction scheme in vasculature identification.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xiao, Ruoxiu& Yang, Jian& Goyal, Mahima& Liu, Yue& Wang, Yongtian. 2013. Automatic Vasculature Identification in Coronary Angiograms by Adaptive Geometrical Tracking. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-498849
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xiao, Ruoxiu…[et al.]. Automatic Vasculature Identification in Coronary Angiograms by Adaptive Geometrical Tracking. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-498849
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xiao, Ruoxiu& Yang, Jian& Goyal, Mahima& Liu, Yue& Wang, Yongtian. Automatic Vasculature Identification in Coronary Angiograms by Adaptive Geometrical Tracking. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-498849
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-498849
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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