Automatic Lung Tumor Segmentation on PETCT Images Using Fuzzy Markov Random Field Model
Joint Authors
Guo, Yu
Wang, Ping
Sun, Jian
Sa, Yu
Lin, Wang
Zhang, Ning
Feng, Yuanming
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-29
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469072