Micronodule analysis by severity of pneumoconiosis using 3D CT images

R. Nii; Y. Kawata; Y. Ohtsuka; T. Kishimoto; K. Ashizawa; N. Niki

doi:10.1117/12.3009095

2 April 2024 Micronodule analysis by severity of pneumoconiosis using 3D CT images

R. Nii, Y. Kawata, Y. Ohtsuka, T. Kishimoto, K. Ashizawa, N. Niki

Proceedings Volume 12931, Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications; 1293110 (2024) https://doi.org/10.1117/12.3009095
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

Pneumoconiosis, an occupational respiratory illness triggered by inhaling mineral dust with increasing prevalence and severity worldwide. Chest radiograph plays a vital role in the screening of pneumoconiosis. The pneumoconiosis staging mainly depends on the small opacity in the lung fields, and early-stage pneumoconiosis staging has been a challenging task, necessitating quantitative diagnostics. Thoracic Computed Tomography (CT) images represent the gold-standard modality for evaluating local abnormalities and understanding structure-function relationships in an organ. The thoracic CT images have the potential to provide an essential feature for distinguishing subtle morphological patterns of micro-nodule distributions in the lungs through quantitative analyses. This study investigates whether quantitative representations based on topological data analysis can capture particulate shadows' three-dimensional (3D) distribution properties in pneumoconiosis in volumetric CT images.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

R. Nii, Y. Kawata, Y. Ohtsuka, T. Kishimoto, K. Ashizawa, and N. Niki "Micronodule analysis by severity of pneumoconiosis using 3D CT images", Proc. SPIE 12931, Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications, 1293110 (2 April 2024); https://doi.org/10.1117/12.3009095

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