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Computer Vision Based Automatic Extraction and Thickness Measurement of Deep Cervical Flexor from Ultrasonic Images
المؤلفون المشاركون
Kim, Kwang Baek
Park, Hyun Jun
Song, Doo Heon
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-02-01
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Deep Cervical Flexor (DCF) muscles are important in monitoring and controlling neck pain.
While ultrasonographic analysis is useful in this area, it has intrinsic subjectivity problem.
In this paper, we propose automatic DCF extractor/analyzer software based on computer vision.
One of the major difficulties in developing such an automatic analyzer is to detect important organs and their boundaries under very low brightness contrast environment.
Our fuzzy sigma binarization process is one of the answers for that problem.
Another difficulty is to compensate information loss that happened during such image processing procedures.
Many morphologically motivated image processing algorithms are applied for that purpose.
The proposed method is verified as successful in extracting DCFs and measuring thicknesses in experiment using two hundred 800 × 600 DICOM ultrasonography images with 98.5% extraction rate.
Also, the thickness of DCFs automatically measured by this software has small difference (less than 0.3 cm) for 89.8% of extracted DCFs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kim, Kwang Baek& Song, Doo Heon& Park, Hyun Jun. 2016. Computer Vision Based Automatic Extraction and Thickness Measurement of Deep Cervical Flexor from Ultrasonic Images. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100154
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kim, Kwang Baek…[et al.]. Computer Vision Based Automatic Extraction and Thickness Measurement of Deep Cervical Flexor from Ultrasonic Images. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1100154
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kim, Kwang Baek& Song, Doo Heon& Park, Hyun Jun. Computer Vision Based Automatic Extraction and Thickness Measurement of Deep Cervical Flexor from Ultrasonic Images. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100154
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1100154
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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