Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram
المؤلفون المشاركون
Yang, Jian
Wang, Yongtian
Fan, Jingfan
Ai, Danni
Wang, Guangzhi
Xiao, Ruoxiu
Liu, Yue
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-05-18
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Seed point is prerequired condition for tracking based method for extracting centerline or vascular structures from the angiogram.
In this paper, a novel seed point detection method for coronary artery segmentation is proposed.
Vessels on the image are first enhanced according to the distribution of Hessian eigenvalue in multiscale space; consequently, centerlines of tubular vessels are also enhanced.
Ridge point is extracted as candidate seed point, which is then refined according to its mathematical definition.
The theoretical feasibility of this method is also proven.
Finally, all the detected ridge points are checked using a self-adaptive threshold to improve the robustness of results.
Clinical angiograms are used to evaluate the performance of the proposed algorithm, and the results show that the proposed algorithm can detect a large set of true seed points located on most branches of vessels.
Compared with traditional seed point detection algorithms, the proposed method can detect a larger number of seed points with higher precision.
Considering that the proposed method can achieve accurate seed detection without any human interaction, it can be utilized for several clinical applications, such as vessel segmentation, centerline extraction, and topological identification.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xiao, Ruoxiu& Yang, Jian& Ai, Danni& Fan, Jingfan& Liu, Yue& Wang, Guangzhi…[et al.]. 2015. Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057920
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xiao, Ruoxiu…[et al.]. Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057920
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xiao, Ruoxiu& Yang, Jian& Ai, Danni& Fan, Jingfan& Liu, Yue& Wang, Guangzhi…[et al.]. Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057920
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057920
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر