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.

引用

页数：6

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