直近一年間の累計
アクセス数 : ?
ダウンロード数 : ?
ID 116789
著者
Kato, Katsuya Kawasaki Medical School
Kishimoto, Takumi Okayama Rosai Hospital
Ashizawa, Kazuto Nagasaki University
キーワード
pneumoconiosis
computed tomography
computer aided diagnosis
資料タイプ
学術雑誌論文
抄録
240,000 participants have a screening for diagnosis of pneumoconiosis every year in Japan. Radiograph is used for staging of severity in pneumoconiosis worldwide. This paper presents a method for quantitative assessment of severity in pneumoconiosis using both size and frequency of lung nodules that detected by thin-section CT images. This method consists of three steps. First, thoracic organs (body, ribs, spine, trachea, bronchi, lungs, heart, and pulmonary blood vessels) are segmented. Second, lung nodules that have radius over 1.5mm are detected. These steps used functions of our developed computer aided detection system of chest CT images. Third, severity in pneumoconiosis is quantified using size and frequency of lung nodules. This method was applied to nine pneumoconiosis patients. The initial results showed that proposed method can assess severity in pneumoconiosis quantitatively. This paper demonstrates effectiveness of our method in diagnosis and prognosis of pneumoconiosis in CT screening.
掲載誌名
Proceedings of SPIE
ISSN
0277786X
cat書誌ID
AA10619755
出版者
SPIE
9785
開始ページ
978531
発行日
2016-03-24
備考
著者英表記誤記あり (誤)Kazuya Kato→(正)Katsuya Kato
Hidenobu Suzuki, Mikio Matsuhiro, Yoshiki Kawata, Noboru Niki, Katsuya Kato, Takumi Kishimoto, and Kazuto Ashizawa "Computer aided diagnosis for severity assessment of pneumoconiosis using CT images", Proc. SPIE 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 978531 (24 March 2016); https://doi.org/10.1117/12.2217480
権利情報
Copyright 2016 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
EDB ID
出版社版DOI
出版社版URL
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
理工学系