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Iranian Journal of Medical Physics، جلد ۶، شماره ۱، صفحات ۷۱-۸۳
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Intrathoracic Airway Tree Segmentation from CT Images Using a Fuzzy Connectivity Method
چکیده انگلیسی مقاله Introduction: Virtual bronchoscopy is a reliable and efficient diagnostic method for primary symptoms of lung cancer. The segmentation of airways from CT images is a critical step for numerous virtual bronchoscopy applications. Materials and Methods: To overcome the limitations of the fuzzy connectedness method, the proposed technique, called fuzzy connectivity - fuzzy C-mean (FC-FCM), utilized the FCM algorithm. Then, hanging-togetherness of pixels was handled by employing a spatial membership function. Another problem in airway segmentation that had to be overcome was the leakage into the extra-luminal regions due to the thinness of the airway walls during the process of segmentation. Results: The result shows an accuracy of 92.92% obtained for segmentation of the airway tree up to the fourth generation. Conclusion: We have presented a new segmentation method that is not only robust regarding the leakage problem but also functions more efficiently than the traditional FC method. 
کلیدواژه‌های انگلیسی مقاله Airway tree segmentation, Fuzzy connectivity, Fuzzy C-Mean
نویسندگان مقاله فرشته یوسفی ریزی | fereshteh yousefi rizi
master of science in biomedical engineering, department of biomedical systems amp;amp; medical physics, tehran university of medical sciences

سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)

علیرضا احمدیان | alireza ahmadian
associate professor in biomedical engineering, biomedical systems amp;amp; medical physics dept., tehran university of medical sciences amp;amp; research center for science and technology in medicine, tehran, iran.

سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)

عماد فاطمی زاده | emad fatemizadeh
assistant professor in biomedical engineering, electrical engineering dept., sharif university of technology, tehran, iran.

سازمان اصلی تایید شده: دانشگاه صنعتی شریف (Sharif university of technology)

جواد علیرضایی | javad alirezaie
associate professor in biomedical engineering, electrical engineering dept., ryerson university, toronto, canada.


نادر رضایی | nader rezaie
assistant professor, pneumologist consultant, iran university of medical sciences, internal medicine group, tehran, iran.

سازمان اصلی تایید شده: دانشگاه علوم پزشکی ایران (Iran university of medical sciences)

نشانی اینترنتی http://ijmp.mums.ac.ir/article_7392.html
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Paper
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