Recognition of boundary voxels of tumors in chest CT images for extraction of tumor regions
نویسندگان
چکیده
In this paper, the properties of boundaries of lung tumors are considered in terms of extraction of tumor regions from chest X-ray CT images. We calculated features on boundary voxels those were determined by a medical doctor. We also calculated them in the adjacent region of boundary to investigate the difference between those regions. Lung tumors can be classified into four types in respect of CT values around their boundaries. They are solid type, the non-GGA, the mixed-GGA and the pure-GGA. It is thought that medical doctors determine boundaries on each criterion for each type of tumors. The voxels were classified into the boundary region and the adjacent region for each type using SVM [1].
منابع مشابه
Extraction of tumor regions keeping boundary shape information from chest X-ray CT images and benign/malignant discrimination
1 . I N T R O D U C T I O N In this paper, we propose a new method to extract lung tumor regions in three dimensional (3D) chest X-ray CT images, keeping details of the shape in the boundary of tumors. Methods to extract lung tumor region have been reported already by several authors [1-3]. The goal of their methods was indication of the position and the rough size of tumors, because they inten...
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