Automatic Lung Tumor Segmentation on PETCT Images Using Fuzzy Markov Random Field Model
المؤلفون المشاركون
Guo, Yu
Wang, Ping
Sun, Jian
Sa, Yu
Lin, Wang
Zhang, Ning
Feng, Yuanming
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-05-29
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص EN
The combination of positron emission tomography (PET) and CT images provides complementary functional and anatomical information of human tissues and it has been used for better tumor volume definition of lung cancer.
This paper proposed a robust method for automatic lung tumor segmentation on PET/CT images.
The new method is based on fuzzy Markov random field (MRF) model.
The combination of PET and CT image information is achieved by using a proper joint posterior probability distribution of observed features in the fuzzy MRF model which performs better than the commonly used Gaussian joint distribution.
In this study, the PET and CT simulation images of 7 non-small cell lung cancer (NSCLC) patients were used to evaluate the proposed method.
Tumor segmentations with the proposed method and manual method by an experienced radiation oncologist on the fused images were performed, respectively.
Segmentation results obtained with the two methods were similar and Dice’s similarity coefficient (DSC) was 0.85 ± 0.013.
It has been shown that effective and automatic segmentations can be achieved with this method for lung tumors which locate near other organs with similar intensities in PET and CT images, such as when the tumors extend into chest wall or mediastinum.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Guo, Yu& Feng, Yuanming& Sun, Jian& Zhang, Ning& Lin, Wang& Sa, Yu…[et al.]. 2014. Automatic Lung Tumor Segmentation on PETCT Images Using Fuzzy Markov Random Field Model. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-469072
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Guo, Yu…[et al.]. Automatic Lung Tumor Segmentation on PETCT Images Using Fuzzy Markov Random Field Model. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-469072
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Guo, Yu& Feng, Yuanming& Sun, Jian& Zhang, Ning& Lin, Wang& Sa, Yu…[et al.]. Automatic Lung Tumor Segmentation on PETCT Images Using Fuzzy Markov Random Field Model. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-469072
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-469072
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