A robust method of identifying the optimal cancellation parameters for dual-energy chest x-ray imaging

Ilwoong Choi; Ibragim Atadjanov; Wontaek Seo; Mijung Jo; Junekyu Park; Jeongmin Ahn; Taehee Kim; Hyunjong Kim; Choul Woo Shin

doi:10.1117/12.2612442

4 April 2022 A robust method of identifying the optimal cancellation parameters for dual-energy chest x-ray imaging

Ilwoong Choi, Ibragim Atadjanov, Wontaek Seo, Mijung Jo, Junekyu Park, Jeongmin Ahn, Taehee Kim, Hyunjong Kim, Choul Woo Shin

Author Affiliations +

Proceedings Volume 12031, Medical Imaging 2022: Physics of Medical Imaging; 1203111 (2022) https://doi.org/10.1117/12.2612442
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

This work proposes a robust method of identifying the optimal cancellation parameters for dual-energy imaging. We designed the proposed method in a simple and practical way for dual-energy subtraction by utilizing histogram information rather than spatial information of images. A classification predictive modeling based on XGBoost was employed to identify cancellation parameters for soft-tissue and bone selected images. We verified the robust performance of the proposed method for 500 chest x-ray examinations by comparing predicted cancellation parameters with the optimal values determined by well-trained radiologists. The value of the proposed work may contribute to advancements in chest x-ray imaging technologies.

Conference Presentation

Citation Download Citation

Ilwoong Choi, Ibragim Atadjanov, Wontaek Seo, Mijung Jo, Junekyu Park, Jeongmin Ahn, Taehee Kim, Hyunjong Kim, and Choul Woo Shin "A robust method of identifying the optimal cancellation parameters for dual-energy chest x-ray imaging", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 1203111 (4 April 2022); https://doi.org/10.1117/12.2612442

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