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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\u2019s similarity coefficient (DSC) was 0.85 \u00b1 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.<\/jats:p>","DOI":"10.1155\/2014\/401201","type":"journal-article","created":{"date-parts":[[2014,5,29]],"date-time":"2014-05-29T17:05:01Z","timestamp":1401383101000},"page":"1-6","source":"Crossref","is-referenced-by-count":27,"title":["Automatic Lung Tumor Segmentation on PET\/CT Images Using Fuzzy Markov Random Field Model"],"prefix":"10.1155","volume":"2014","author":[{"given":"Yu","family":"Guo","sequence":"first","affiliation":[{"name":"Tianjin Key Lab of BME Measurement, Tianjin University, Tianjin 300072, China"}]},{"given":"Yuanming","family":"Feng","sequence":"additional","affiliation":[{"name":"Tianjin Key Lab of BME Measurement, Tianjin University, Tianjin 300072, China"},{"name":"Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China"}]},{"given":"Jian","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1559-111X","authenticated-orcid":true,"given":"Ning","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tianjin Key Lab of BME Measurement, Tianjin University, Tianjin 300072, China"}]},{"given":"Wang","family":"Lin","sequence":"additional","affiliation":[{"name":"Tianjin Key Lab of BME Measurement, Tianjin University, Tianjin 300072, China"}]},{"given":"Yu","family":"Sa","sequence":"additional","affiliation":[{"name":"Tianjin Key Lab of BME Measurement, Tianjin University, Tianjin 300072, China"}]},{"given":"Ping","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/609545"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2006.01.025"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.10.005"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2048612"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2013.2267212"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2008.2012036"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2010.09.007"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2012888"},{"issue":"3","key":"14","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1109\/83.557353","volume":"6","year":"1997","journal-title":"IEEE Transation on Image Processing"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2005.10.001"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2014\/401201.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2014\/401201.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2014\/401201.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,22]],"date-time":"2017-06-22T10:03:51Z","timestamp":1498125831000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cmmm\/2014\/401201\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":10,"alternative-id":["401201","401201"],"URL":"https:\/\/doi.org\/10.1155\/2014\/401201","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"type":"print","value":"1748-670X"},{"type":"electronic","value":"1748-6718"}],"subject":[],"published":{"date-parts":[[2014]]}}}