Paper
10 April 2023 Micro-nodule analysis by severity of pneumoconiosis using 3D CT images.
Author Affiliations +
Abstract
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.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Y. Hashimoto, M. Matsuhiro, H. Suzuki, Y. Kawata, Y. Ohtuka, T. Kishimoto, K. Ashizawa, and N. Niki "Micro-nodule analysis by severity of pneumoconiosis using 3D CT images.", Proc. SPIE 12469, Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and Applications, 124690X (10 April 2023); https://doi.org/10.1117/12.2653766
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KEYWORDS
Lung

3D image processing

X-ray computed tomography

Pulmonary disorders

Computed tomography

Databases

Image analysis

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