A Semiautomatic Segmentation Algorithm for Extracting the Complete Structure of Acini from Synchrotron Micro-CT Images
المؤلفون المشاركون
Sera, Toshihiro
Koshiyama, Kenichiro
Wada, Shigeo
Xiao, Luosha
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-02-28
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Pulmonary acinus is the largest airway unit provided with alveoli where blood/gas exchange takes place.
Understanding the complete structure of acinus is necessary to measure the pathway of gas exchange and to simulate various mechanical phenomena in the lungs.
The usual manual segmentation of a complete acinus structure from their experimentally obtained images is difficult and extremely time-consuming, which hampers the statistical analysis.
In this study, we develop a semiautomatic segmentation algorithm for extracting the complete structure of acinus from synchrotron micro-CT images of the closed chest of mouse lungs.
The algorithm uses a combination of conventional binary image processing techniques based on the multiscale and hierarchical nature of lung structures.
Specifically, larger structures are removed, while smaller structures are isolated from the image by repeatedly applying erosion and dilation operators in order, adjusting the parameter referencing to previously obtained morphometric data.
A cluster of isolated acini belonging to the same terminal bronchiole is obtained without floating voxels.
The extracted acinar models above 98% agree well with those extracted manually.
The run time is drastically shortened compared with manual methods.
These findings suggest that our method may be useful for taking samples used in the statistical analysis of acinus.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xiao, Luosha& Sera, Toshihiro& Koshiyama, Kenichiro& Wada, Shigeo. 2013. A Semiautomatic Segmentation Algorithm for Extracting the Complete Structure of Acini from Synchrotron Micro-CT Images. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-482010
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xiao, Luosha…[et al.]. A Semiautomatic Segmentation Algorithm for Extracting the Complete Structure of Acini from Synchrotron Micro-CT Images. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-482010
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xiao, Luosha& Sera, Toshihiro& Koshiyama, Kenichiro& Wada, Shigeo. A Semiautomatic Segmentation Algorithm for Extracting the Complete Structure of Acini from Synchrotron Micro-CT Images. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-482010
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-482010
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