![](/images/graphics-bg.png)
Objective Ventricle Segmentation in Brain CT with Ischemic Stroke Based on Anatomical Knowledge
المؤلفون المشاركون
Qian, Xiaohua
Lin, Yuan
Zhao, Yue
Yue, Xinyan
Lu, Bingheng
Wang, Jing
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-02-07
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Ventricle segmentation is a challenging technique for the development of detection system of ischemic stroke in computed tomography (CT), as ischemic stroke regions are adjacent to the brain ventricle with similar intensity.
To address this problem, we developed an objective segmentation system of brain ventricle in CT.
The intensity distribution of the ventricle was estimated based on clustering technique, connectivity, and domain knowledge, and the initial ventricle segmentation results were then obtained.
To exclude the stroke regions from initial segmentation, a combined segmentation strategy was proposed, which is composed of three different schemes: (1) the largest three-dimensional (3D) connected component was considered as the ventricular region; (2) the big stroke areas were removed by the image difference methods based on searching optimal threshold values; (3) the small stroke regions were excluded by the adaptive template algorithm.
The proposed method was evaluated on 50 cases of patients with ischemic stroke.
The mean Dice, sensitivity, specificity, and root mean squared error were 0.9447, 0.969, 0.998, and 0.219 mm, respectively.
This system can offer a desirable performance.
Therefore, the proposed system is expected to bring insights into clinic research and the development of detection system of ischemic stroke in CT.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Qian, Xiaohua& Lin, Yuan& Zhao, Yue& Yue, Xinyan& Lu, Bingheng& Wang, Jing. 2017. Objective Ventricle Segmentation in Brain CT with Ischemic Stroke Based on Anatomical Knowledge. BioMed Research International،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1139224
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Qian, Xiaohua…[et al.]. Objective Ventricle Segmentation in Brain CT with Ischemic Stroke Based on Anatomical Knowledge. BioMed Research International No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1139224
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Qian, Xiaohua& Lin, Yuan& Zhao, Yue& Yue, Xinyan& Lu, Bingheng& Wang, Jing. Objective Ventricle Segmentation in Brain CT with Ischemic Stroke Based on Anatomical Knowledge. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1139224
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139224
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
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
![](/images/kashef-image.png)