A new scheme for computer-aided detection of CT lung nodules designed in consideration of ground-glass opacity

被引：0

作者：

Matsumoto, Sumiaki ^{[1
]}

Ohno, Yoshiharu ^{[1
]}

Yamagata, Hitoshi ^{[2
]}

Asahina, Hiroshi ^{[2
]}

Sugimura, Kazuro ^{[1
]}

机构：

[1] Kobe Univ, Grad Sch Med, Dept Radiol, Kobe, Hyogo, Japan

[2] Toshiba Med Syst Corp, Ctr Res & Dev, Otawara, Japan

来源：

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY | 2006年 / 1卷

关键词：

Computer-aided detection; Computed tomography; Lung nodule; Lung cancer;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Localized ground-glass opacity (GGO) is an important manifestation of lung cancer in CT images We have developed a new CAD scheme designed to detect both solid nodules and nodules with GGO whose key process is adaptive threshold selection. The scheme was tested with multi-detector row CT images from 50 patients. A total of 129 nodules (consisting of 107 solid nodules and 22 nodules with GGO) of 3 mm or larger in diameter were used as a reference standard. The scheme showed a reasonable performance with 5.8 false positives per case at the sensitivity of 88% (90% for solid nodules and 77% for nodules with GGO).

引用

页码：352 / 354

页数：3

共 50 条

[21] Clinical, pathological and thin-section CT features of persistent multiple ground-glass opacity nodules: Comparison with solitary ground-glass opacity nodule
Kim, Tae Jung
Goo, Jin Mo
Lee, Kyung Won
Park, Chang Min
Lee, Hyun Ju
LUNG CANCER, 2009, 64 (02) : 171 - 178
[22] Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features
Jacobs, Colin
Sanchez, Clara I.
Saur, Stefan C.
Twellmann, Thorsten
de Jong, Pim A.
van Ginneken, Brain
MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, MICCAI 2011, PT III, 2011, 6893 : 207 - +
[23] Feature Extraction of Ground-Glass Opacity Nodules using Active Contour Model for Lung Cancer Detection
Miao, Yanli
Wang, Jianming
Du, Weiwei
Ma, Yanhe
Zhang, Hong
PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS, 2016, 71 : 1312 - 1318
[24] Computer-aided diagnosis for detection of lung nodules on thin-section CT
Li, Qiang
MIPPR 2007: MEDICAL IMAGING, PARALLEL PROCESSING OF IMAGES, AND OPTIMIZATION TECHNIQUES, 2007, 6789
[25] Detection of lung carcinoma with predominant ground-glass opacity on CT using temporal subtraction method
Terasawa, Takashi
Aoki, Takatoshi
Murakami, Seiichi
Kim, Hyoungseop
Fujii, Masami
Kobayashi, Michiko
Chihara, Chihiro
Hayashida, Yoshiko
Korogi, Yukunori
EUROPEAN RADIOLOGY, 2018, 28 (04) : 1594 - 1599
[26] Computer-aided detection in screening CT for pulmonary nodules
Yuan, R
Vos, PM
Cooperberg, PL
AMERICAN JOURNAL OF ROENTGENOLOGY, 2006, 186 (05) : 1280 - 1287
[27] Detection of lung carcinoma with predominant ground-glass opacity on CT using temporal subtraction method
Takashi Terasawa
Takatoshi Aoki
Seiichi Murakami
Hyoungseop Kim
Masami Fujii
Michiko Kobayashi
Chihiro Chihara
Yoshiko Hayashida
Yukunori Korogi
European Radiology, 2018, 28 : 1594 - 1599
[28] Natural History of Pure Ground-Glass Opacity Lung Nodules Detected by Low-Dose CT Scan
Chang, Boksoon
Hwang, Jung Hye
Choi, Yoon-Ho
Chung, Man Pyo
Kim, Hojoong
Kwon, O. Jung
Lee, Ho Yun
Lee, Kyung Soo
Shim, Young Mog
Han, Joungho
Um, Sang-Won
CHEST, 2013, 143 (01) : 172 - 178
[29] PERSISTENT GROUND-GLASS OPACITY LUNG NODULES < 20 MM IN DIAMETER AT CT: HISTOPATHOLOGIC COMPARISONS WITH IMAGING FEATURES
Yang, Lihua
Ren, Shengxiang
Shi, Jingyun
Wu, Cunyan
Zhou, Caicun
JOURNAL OF THORACIC ONCOLOGY, 2013, 8 : S989 - S989
[30] Computer-aided diagnostic scheme for detection of lung nodules in CT by use of massive training artificial neural network
Suzuki, K
Armato, SG
Li, F
Sone, S
Doi, K
RADIOLOGY, 2002, 225 : 533 - 533

← 1 2 3 4 5 →