ORIGINAL RESEARCH article

Front. Physiol.

Sec. Respiratory Physiology and Pathophysiology

Volume 16 - 2025 | doi: 10.3389/fphys.2025.1528067

An Optimization Method for Hemi-diaphragm Measurement of Dynamic Chest X-ray Radiography during Respiration Based on Graphics and Diaphragm Motion Consistency Criterion

Provisionally accepted
Yang YingjianYang Yingjian1Jie ZhengJie Zheng1Peng GuoPeng Guo1Tianqi WuTianqi Wu1Qi GaoQi Gao2Yong LiYong Li1Yang LiuYang Liu3*Chengcheng LiuChengcheng Liu4Yingwei GuoYingwei Guo5*Huai HuaiHuai Huai6*
  • 1Department of Radiological Research and Development, Shenzhen Lanmage Medical Technology Co., Ltd, Shenzhen, China
  • 2Department of Medical Image Processing Algorithm, Research and Development Center of Smart Imaging Software, Neusoft Medical Systems Co., Ltd., Shenyang, Liaoning Province, China
  • 3College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, Guangdong, China
  • 4School of Life and Health Management, Shenyang City University, Shenyang, Liaoning Province, China
  • 5Schol of Electrical and Information Engineering, Northeast Petroleum University, Daqing, China
  • 6Department of Radiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, China

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Existing technologies are at risk of abnormal hemi-diaphragm measurement due to their abnormal morphology caused by lung field deformation during quiet breathing (free respiration or respiratory) interventions in dynamic chest radiography (DCR). To address this issue, an optimization method for hemi-diaphragm measurement is proposed, utilizing graphics and the consistency criterion for diaphragm motion. First, Initial hemi-diaphragms are detected based on lung field mask edges of dynamic chest X-ray images abstracted from the DCR at respiratory interventions controlled by the radiologist's instructions. Second, abnormal hemidiaphragms are identified, resulting from morphological deformation of the lung field during respiration. Lastly, these abnormal hemi-diaphragms are optimized based on the consistency criterion of diaphragm motion. Results show that the proposed optimization method can effectively measure the hemi-diaphragm, even in the presence of the inapparent cardiophrenic angle caused by abnormal deformations of the lung field morphology during respiration, reducing the mean error by 49.050 pixels (49.050 × 417 μ m = 20,453.85 μm). Therefore, the proposed optimization method may become an effective tool for precision healthcare to find the pattern of diaphragm movement during respiratory interventions.

Keywords: dynamic chest radiography, hemi-diaphragm measurement, Convolutional Neural Network, Graphics, diaphragm motion consistency criterion, Respiration

Received: 14 Nov 2024; Accepted: 06 Jun 2025.

Copyright: © 2025 Yingjian, Zheng, Guo, Wu, Gao, Li, Liu, Liu, Guo and Huai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Yang Liu, College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, 518118, Guangdong, China
Yingwei Guo, Schol of Electrical and Information Engineering, Northeast Petroleum University, Daqing, China
Huai Huai, Department of Radiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, Guangdong Province, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Supplementary Material