Automated Segmentation and Object Classification of CT Images : Application to In Vivo Molecular Imaging of Avian Embryos
المؤلفون المشاركون
Zimmermann, Johannes
Schmidt, Jana
Heidrich, Alexander
Saluz, Hans Peter
المصدر
International Journal of Biomedical Imaging
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-08-12
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Background.
Although chick embryogenesis has been studied extensively, there has been growing interest in the investigation of skeletogenesis.
In addition to improved poultry health and minimized economic loss, a greater understanding of skeletal abnormalities can also have implications for human medicine.
True in vivo studies require noninvasive imaging techniques such as high-resolution microCT.
However, the manual analysis of acquired images is both time consuming and subjective.
Methods.
We have developed a system for automated image segmentation that entails object-based image analysis followed by the classification of the extracted image objects.
For image segmentation, a rule set was developed using Definiens image analysis software.
The classification engine was implemented using the WEKA machine learning tool.
Results.
Our system reduces analysis time and observer bias while maintaining high accuracy.
Applying the system to the quantification of long bone growth has allowed us to present the first true in ovo data for bone length growth recorded in the same chick embryos.
Conclusions.
The procedures developed represent an innovative approach for the automated segmentation, classification, quantification, and visualization of microCT images.
MicroCT offers the possibility of performing longitudinal studies and thereby provides unique insights into the morpho- and embryogenesis of live chick embryos.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Heidrich, Alexander& Schmidt, Jana& Zimmermann, Johannes& Saluz, Hans Peter. 2013. Automated Segmentation and Object Classification of CT Images : Application to In Vivo Molecular Imaging of Avian Embryos. International Journal of Biomedical Imaging،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-477225
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Heidrich, Alexander…[et al.]. Automated Segmentation and Object Classification of CT Images : Application to In Vivo Molecular Imaging of Avian Embryos. International Journal of Biomedical Imaging No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-477225
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Heidrich, Alexander& Schmidt, Jana& Zimmermann, Johannes& Saluz, Hans Peter. Automated Segmentation and Object Classification of CT Images : Application to In Vivo Molecular Imaging of Avian Embryos. International Journal of Biomedical Imaging. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-477225
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-477225
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