@article{oai:kyutech.repo.nii.ac.jp:00001128,
 author = {Kim, Hyungseop and 金, 亨燮 and 萩原, 圭太 and Hagiwara, Keita and Ishikawa, Seiji and 石川, 聖二 and 四宮, 孝史 and Shinomiya, Takashi and 佃, 正明 and Tsukuda, Masaaki},
 issue = {1},
 journal = {バイオメディカル・ファジィ・システム学会誌, Journal of Biomedical Fuzzy Systems Association},
 month = {Oct},
 note = {医療分野ではCTやMRI画像を始めとする様々な画像診断ツールが開発されている。腹部CT画像上の肝臓領域の抽出とその解析に関する研究も複数提案されているが、3次元構造の解析が必要であることや、処理が複雑であるなどの理由のため、処理が困難な場合が多い。本論文では、2次元腹部CT像から肝臓領域の自動抽出を行い、得られる領域内で病変部候補領域を自動抽出する手法を提案する。病変部候補領域の抽出には、異なる時相間で得られる画像からの経時的変化を利用している。提案法を腹部CT像に適用し、その結果と考察を述べる。, In recent year, various imaging techniques have been introduced into medical fields as useful tools for providing helpful information for visual inspections. For example, magnetic resonance imaging and computed tomography, etc., are those already established imaging techniques. Accordingly many related image processing techniques have been developed and reported in medical imaging fields. In the field of X-ray CT images, to segment of liver region several approaches are reported in the past. Many of them are needs knowledge-based schemes based on fuzzy logic or 3-D structural such as a blood vessel. It is therefore, for numerical representation automatic extraction of the liver region and classification of shadow candidate is required. In this paper, we propose a technique for automatic extraction of liver areas and its classification of shadow by computer employing a set of abdominal CT images. In the first stage, we extract a region of liver area from the given 2-D CT images. In the next stage, abnormal area is extracted employing subtraction technique. The technique was applied to three abdominal CT image sets and satisfactory results were obtained.},
 pages = {42--49},
 title = {腹部CT像からの肝臓領域と異常陰影候補領域の抽出},
 volume = {6},
 year = {2004},
 yomi = {イシカワ, セイジ}
}