Automated detection of circular marker particles in synchrotron phase contrast X-ray images of live mouse nasal airways for mucociliary transit assessment

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• 作者：Hye-Won Jung^a ; ^{junhy008@mymail.unisa.edu.au} ; Sang-Heon Lee^b ; ^{Sang-Heon.Lee@unisa.edu.au} ; Martin Donnelley^c ; ^d ; David Parsons^c ; ^d ; Ivan Lee^a ; ^{Ivan.Lee@unisa.edu.au}
• 关键词：Circle detection ; Phase contrast ; Sectored ring mask ; Edge projection ; Cystic fibrosis
• 刊名：Expert Systems with Applications
• 出版年：2017
• 出版时间：1 May 2017
• 年：2017
• 卷：73
• 期：Complete
• 页码：57-68
• 全文大小：4609 K
• 卷排序：73

文摘

The non-invasive measurement of mucociliary transit system for CF is required. The automatic circular particles is challenging in Synchrotron X-ray images. A noble method to automatically count the circular shapes is proposed. Robust detection accuracy of 92.7% F-measurement is achieved.