Computer-aided Delineation of Lung Tumor Regions in Treatment Planning CT Images and PET/CT Images Using Localized Level Set Approach
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概要
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The purpose of this study was to develop a computer-aided delineation method of lung tumor regions in treatment planning computed tomography (CT) images and positron emission tomography (PET)/CT images using a localized level set approach. Six data sets of treatment planning CT and PET/CT images of lung cancer patients were selected for this study. PET images were registered to the planning CT images by using an affine transformation matrix, which was the same transformation matrix derived from registration between the planning CT images and CT images of PET/CT images. The initial regions of the lung tumors were identified by thresholding the PET images at a certain standardized uptake value (SUV). We proposed a localized level set method (LLSM), which determines an optimum contour of the GTV region in the planning CT images based on the initial regions. For performance evaluation, we employed the Dice similarity coefficient (DSC), which denotes the degree of region similarity between the gold standard determined by radiation oncologists and the GTV region extracted by the proposed method. Also, we made a comparison between the results, which were obtained by using the proposed method and a conventional method, i.e., the fast level set method. Our proposed method reached an average DSC of 0.77 for the six cases, which was greater than that of 0.44 obtained by the conventional method. The proposed method may be useful for assisting treatment planners in delineation of the tumor region.
- 一般社団法人電子情報通信学会の論文
- 2013-01-17
著者
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Toyofuku Fukai
Faculty Of Medical Sciences Kyushu University
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MAGOME Taiki
Graduate School of Medical Sciences, Kyushu University
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Honda Hiroshi
Department Of Agricultural Chemistry Tokyo University Of Agriculture
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Magome Taiki
Graduate School Of Medical Sciences Kyushu University
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Arimura Hidetaka
Faculty Of Medical Sciences Kyushu University
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Nakamura Katsumasa
Department Of Clinical Radiology Graduate School Of Medical Sciences Kyushu University
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SHIOYAMA Yoshiyuki
Medipolis Proton Therapy and Research Center
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SASAKI Masayuki
Faculty of Medical Sciences, Kyushu University
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JIN Ze
Graduate School of Medical Sciences, Kyushu University
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KUWAZURU Jumpei
Department of Heavy Particle Therapy and Radiation Oncology, Graduate School of Medical Sciences, Kyushu University
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HIRATA Hideki
Faculty of Medical Sciences, Kyushu University
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