Lobe-specific micro-nodule analysis of pneumoconiosis progression using 3D CT images

被引:1
作者
Hashimoto, Y. [1 ]
Matsuhiro, M. [1 ]
Suzuki, H. [1 ]
Kawata, Y. [1 ]
Ohtsuka, Y. [2 ]
Kishimoto, T. [3 ]
Ashizawa, K. [4 ]
Niki, N. [5 ]
机构
[1] Tokushima Univ, Tokushima, Japan
[2] Hokkaido Chuo Rosai Hosp, Iwamizawa, Hokkaido, Japan
[3] Okayama Rosai Hosp, Okayama, Japan
[4] Nagasaki Univ, Nagasaki, Japan
[5] Med Sci Inst, Tokuhsima, Japan
来源
MEDICAL IMAGING 2022: IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONS | 2022年 / 12037卷
关键词
pneumoconiosis; micro nodule; computed tomography; quantitative diagnostic criteria;
D O I
10.1117/12.2612812
中图分类号
R-058 [];
学科分类号
摘要
Pneumoconiosis is an occupational respiratory disease caused by inhaling dust into the lungs. In Japan, 240,000 people undergo pneumoconiosis screening every year. X-rays are used worldwide to classify the severity of pneumoconiosis. It is important to distinguish between stage 0/1 and stage 1/0, which are eligible for recognition of occupational injury. CT images are expected to provide more accurate diagnosis because they can be confirmed in three dimensions compared to X-rays. We extract micro-nodules from 3D CT images for each severity of pneumoconiosis, and analyze and evaluate the number, size, and CT values of micro-nodules in each lung lobe.
引用
收藏
页数:6
相关论文
共 5 条
[1]  
Cicek Ozgun, 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016. 19th International Conference. Proceedings: LNCS 9901, P424, DOI 10.1007/978-3-319-46723-8_49
[2]   Quantitative assessment for pneumoconiosis severity diagnosis using 3D CT images [J].
Hino, Koki ;
Matsuhiro, Mikio ;
Suzuki, Hidenobu ;
Kawata, Yoshiki ;
Niki, Noboru ;
Kato, Katsuya ;
Kishimoto, Takumi ;
Ashizawa, Kazuto .
MEDICAL IMAGING 2018: COMPUTER-AIDED DIAGNOSIS, 2018, 10575
[3]  
International Labour Organization, 2011, Guidelines for the use of the ILO international classification of radiographs of pneumoconiosis
[4]  
Suzuki H., 2016, P SOC PHOTO-OPT INS, V9785
[5]  
Tsuda H, 2014, FARUMASHIA, V50