Micro-nodule analysis by severity of pneumoconiosis using 3D CT images

被引：1
作者：
Hahsimoto, Y. [1 ]
Matsuhiro, M. [2 ]
Suzuki, H. [1 ]
Kawata, Y. [1 ]
Ohtsuka, Y. [3 ]
Kishimoto, T. [4 ]
Ashizawa, K. [5 ]
Niki, N. [6 ]
机构：
[1] Tokushima Univ, Tokushima, Japan
[2] Suzuka Univ Med Sci, Suzuka, Japan
[3] Hokkaido Chuo Rosai Hosp, Iwamizawa, Hokkaido, Japan
[4] Okayama Rosai Hosp, Okayama, Japan
[5] Nagasaki Univ, Nagasaki, Japan
[6] Med Sci Inst Inc, Tokushima, Japan
来源：
MEDICAL IMAGING 2023 | 2023年 / 12469卷
关键词：
pneumoconiosis; micro nodule; computed tomography; quantitative diagnostic criteria;
D O I：
10.1117/12.2653766
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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 type 0/1 and type 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, position and CT values of micro-nodules in each lung lobe.
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收藏
页数：6
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