Automatic Segmentation of Ulna and Radius in Forearm Radiographs
المؤلفون المشاركون
Yang, Wei
Yun, Zhaoqiang
Gou, Xiaofang
Rao, Yuming
Feng, Xiuxia
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-01-29
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Automatic segmentation of ulna and radius (UR) in forearm radiographs is a necessary step for single X-ray absorptiometry bone mineral density measurement and diagnosis of osteoporosis.
Accurate and robust segmentation of UR is difficult, given the variation in forearms between patients and the nonuniformity intensity in forearm radiographs.
In this work, we proposed a practical automatic UR segmentation method through the dynamic programming (DP) algorithm to trace UR contours.
Four seed points along four UR diaphysis edges are automatically located in the preprocessed radiographs.
Then, the minimum cost paths in a cost map are traced from the seed points through the DP algorithm as UR edges and are merged as the UR contours.
The proposed method is quantitatively evaluated using 37 forearm radiographs with manual segmentation results, including 22 normal-exposure and 15 low-exposure radiographs.
The average Dice similarity coefficient of our method reached 0.945.
The average mean absolute distance between the contours extracted by our method and a radiologist is only 5.04 pixels.
The segmentation performance of our method between the normal- and low-exposure radiographs was insignificantly different.
Our method was also validated on 105 forearm radiographs acquired under various imaging conditions from several hospitals.
The results demonstrated that our method was fairly robust for forearm radiographs of various qualities.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gou, Xiaofang& Rao, Yuming& Feng, Xiuxia& Yun, Zhaoqiang& Yang, Wei. 2019. Automatic Segmentation of Ulna and Radius in Forearm Radiographs. Computational and Mathematical Methods in Medicine،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1130645
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gou, Xiaofang…[et al.]. Automatic Segmentation of Ulna and Radius in Forearm Radiographs. Computational and Mathematical Methods in Medicine No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1130645
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gou, Xiaofang& Rao, Yuming& Feng, Xiuxia& Yun, Zhaoqiang& Yang, Wei. Automatic Segmentation of Ulna and Radius in Forearm Radiographs. Computational and Mathematical Methods in Medicine. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1130645
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1130645
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