An Improved Fuzzy Connectedness Method for Automatic Three-Dimensional Liver Vessel Segmentation in CT Images
المؤلفون المشاركون
Zhou, Zhuhuang
Tsui, Po-Hsiang
Lin, Chung-Chih
Wu, Weiwei
Wu, Shuicai
Zhang, Rui
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-10-29
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
In this paper, an improved fuzzy connectedness (FC) method was proposed for automatic three-dimensional (3D) liver vessel segmentation in computed tomography (CT) images.
The vessel-enhanced image (i.e., vesselness image) was incorporated into the fuzzy affinity function of FC, rather than the intensity image used by traditional FC.
An improved vesselness filter was proposed by incorporating adaptive sigmoid filtering and a background-suppressing item.
The fuzzy scene of FC was automatically initialized by using the Otsu segmentation algorithm and one single seed generated adaptively, while traditional FC required multiple seeds.
The improved FC method was evaluated on 40 cases of clinical CT volumetric images from the 3Dircadb (n=20) and Sliver07 (n=20) datasets.
Experimental results showed that the proposed liver vessel segmentation strategy could achieve better segmentation performance than traditional FC, region growing, and threshold level set.
Average accuracy, sensitivity, specificity, and Dice coefficient of the improved FC method were, respectively, (96.4 ± 1.1)%, (73.7 ± 7.6)%, (97.4 ± 1.3)%, and (67.3 ± 5.7)% for the 3Dircadb dataset and (96.8 ± 0.6)%, (89.1 ± 6.8)%, (97.6 ± 1.1)%, and (71.4 ± 7.6)% for the Sliver07 dataset.
It was concluded that the improved FC may be used as a new method for automatic 3D segmentation of liver vessel from CT images.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Rui& Zhou, Zhuhuang& Wu, Weiwei& Lin, Chung-Chih& Tsui, Po-Hsiang& Wu, Shuicai. 2018. An Improved Fuzzy Connectedness Method for Automatic Three-Dimensional Liver Vessel Segmentation in CT Images. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1187033
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Rui…[et al.]. An Improved Fuzzy Connectedness Method for Automatic Three-Dimensional Liver Vessel Segmentation in CT Images. Journal of Healthcare Engineering No. 2018 (2018), pp.1-18.
https://search.emarefa.net/detail/BIM-1187033
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Rui& Zhou, Zhuhuang& Wu, Weiwei& Lin, Chung-Chih& Tsui, Po-Hsiang& Wu, Shuicai. An Improved Fuzzy Connectedness Method for Automatic Three-Dimensional Liver Vessel Segmentation in CT Images. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1187033
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1187033
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