Computer Vision Based Automatic Extraction and Thickness Measurement of Deep Cervical Flexor from Ultrasonic Images
Joint Authors
Kim, Kwang Baek
Park, Hyun Jun
Song, Doo Heon
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100154