ArticleEuropean journal of radiology open2022
Semiautomatic assessment of respiratory dynamics using cine MRI in chronic obstructive pulmonary disease.
Article in European journal of radiology open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Fully automated diaphragm segmentation on routine 2D-cine and 3D thoracic MRI: multireader validation.European radiology experimental · 2026Article
- Estimating pediatric lung volumetric parameters via rapid, limited-slice, free-breathing thoracic dynamic MRI.Medical physics · 2026Article
- Deep learning-based lung volume estimation with dynamic chest radiography.Journal of applied clinical medical physics · 2026Article
- Advancements in imaging techniques for monitoring the respiratory muscles.Critical care (London, England) · 2025Review
- Quantifying Normal Diaphragmatic Motion and Shape and Their Developmental Changes via Dynamic MRI.CHEST pulmonary · 2025Article
- Multi-modal evaluation of respiratory diaphragm motion in chronic obstructive pulmonary disease using MRI series and CT images.Japanese journal of radiology · 2024Article
- Estimation of threshold thickness of residual normal tissue in lung dysfunction detectable by dynamic chest radiography: A virtual imaging trial.Medical physics · 2024Article
- Respiratory Diaphragm Motion-Based Asynchronization and Limitation Evaluation on Chronic Obstructive Pulmonary Disease.Diagnostics (Basel, Switzerland) · 2023Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
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Abstract
Purpose: The quantitative assessment of impaired lung motions and their association with the clinical characteristics of COPD patients is challenging. The aim of this study was to measure respiratory kinetics, including asynchronous movements, and to analyze the relationship between lung area and other clinical parameters. Materials and methods: This study enrolled 10 normal control participants and 21 COPD patients who underwent dynamic MRI and pulmonary function testing (PFT). The imaging program was implemented using MATLAB®. Each lung area was detected semi-automatically on a coronal image (imaging level at the aortic valve) from the inspiratory phase to the expiratory phase. The Dice index of the manual measurements was calculated, with the relationship between lung area ratio and other clinical parameters, including PFTs then evaluated. The asynchronous movements of the diaphragm were also evaluated using a sagittal image. Results: The Dice index for the lung region using the manual and semi-automatic extraction methods was high (Dice index = 0.97 ± 0.03). A significant correlation was observed between the time corrected lung area ratio and percentage of forced expiratory volume in 1 s (FEV Conclusion: Semi-automated extraction of lung area from Cine MRI might be useful for detecting impaired respiratory kinetics in patients with COPD.
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