Elastic Registration Based on Compliance Analysis and Biomechanical Graph Matching

Guevara, Jaime Garcia; Berger, Marie-Odile; Cotin, Stéphane

doi:10.1007/s10439-019-02364-4

Cited by 9 publications

(2 citation statements)

References 20 publications

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“…12 Recently, the elastic registration algorithm has been used to find the transformation and provides a robust map of local lung displacement vectors, which enables the evaluation of lung deformation between inspiration and expiration. [13][14][15][16][17] Chassagnon et al reported that lung shrinkage based on the elastic registration algorithm of chest CT can be used to assess the worsening of ILD in patients with systemic sclerosis, indicating that lung shrinkage is an additional CT marker in the follow-up of f-ILD. 3,18 Furthermore, they adopted elastic registration algorithm on MRI to show less lung deformation in SSc patients with pulmonary fibrosis compared with patients without fibrosis.…”

Section: Discussionmentioning

confidence: 99%

“…Three-dimensional ultrashort echo time MRI allowed for functional imaging of ventilation inhomogeneity within a few breath-holds in patients with cystic fibrosis 12 . Recently, the elastic registration algorithm has been used to find the transformation and provides a robust map of local lung displacement vectors, which enables the evaluation of lung deformation between inspiration and expiration 13–17 . Chassagnon et al reported that lung shrinkage based on the elastic registration algorithm of chest CT can be used to assess the worsening of ILD in patients with systemic sclerosis, indicating that lung shrinkage is an additional CT marker in the follow-up of f-ILD 3,18 .…”

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Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis

Yang,

Yu,

et al. 2023

Journal of Thoracic Imaging

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Purpose: To quantitatively analyze lung elasticity in idiopathic pulmonary fibrosis (IPF) using elastic registration based on 3-dimensional pulmonary magnetic resonance imaging (3D-PMRI) and to assess its’ correlations with the severity of IPF patients. Material and Methods: Thirty male patients with IPF (mean age: 62±6 y) and 30 age-matched male healthy controls (mean age: 62±6 y) were prospectively enrolled. 3D-PMRI was acquired with a 3-dimensional ultrashort echo time sequence in end-inspiration and end-expiration. MR images were registered from end-inspiration to end-expiration with the elastic registration algorithm. Jacobian determinants were calculated from deformation fields on color maps. The log means of the Jacobian determinants (Jac-mean) and Dice similarity coefficient were used to describe lung elasticity between 2 groups. Then, the correlation of lung elasticity with dyspnea Medical Research Council (MRC) score, exercise tolerance, health-related quality of life, lung function, and the extent of pulmonary fibrosis on chest computed tomography were analyzed. Results: The Jac-mean of IPF patients (−0.19, [IQR: −0.22, −0.15]) decreased (absolute value), compared with healthy controls (−0.28, [IQR: −0.31, −0.24], P<0.001). The lung elasticity in IPF patients with dyspnea MRC≥3 (Jac-mean: −0.15; Dice: 0.06) was significantly lower than MRC 1 (Jac-mean: −0.22, P=0.001; Dice: 0.10, P=0.001) and MRC 2 (Jac-mean: −0.21, P=0.007; Dice: 0.09, P<0.001). In addition, the Jac-mean negatively correlated with forced vital capacity % (r=−0.487, P<0.001), forced expiratory volume 1% (r=−0.413, P=0.004), TLC% (r=−0.488, P<0.001), diffusing capacity of the lungs for carbon monoxide % predicted (r=−0.555, P<0.001), 6-minute walk distance (r=−0.441, P=0.030) and positively correlated with respiratory symptoms (r=0.430, P=0.042). Meanwhile, the Dice similarity coefficient positively correlated with forced vital capacity % (r=0.577, P=0.004), forced expiratory volume 1% (r=0.526, P=0.012), diffusing capacity of the lungs for carbon monoxide % predicted (r=0.435, P=0.048), 6-minute walk distance (r=0.473, P=0.016), final peripheral oxygen saturation (r=0.534, P=0.004), the extent of fibrosis on chest computed tomography (r=−0.421, P=0.021) and negatively correlated with activity (r=−0.431, P=0.048). Conclusion: Lung elasticity decreased in IPF patients and correlated with dyspnea, exercise tolerance, health-related quality of life, lung function, and the extent of pulmonary fibrosis. The lung elasticity based on elastic registration of 3D-PMRI may be a new nonradiation imaging biomarker for quantitative evaluation of the severity of IPF.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis

Yang,

Yu,

et al. 2023

Journal of Thoracic Imaging

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Application of graph theory in liver research: A review

Hu,

Sun,

Zheng

et al. 2024

Portal Hypertension & Cirrhosis

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Graph theory has emerged as a valuable tool in liver research, aiding in the assessment of complex interactions underlying liver diseases at different organizational levels. This has allowed significant advancements in the detection, treatment, and control of liver disorders. Particularly, graph theory is useful in identifying different liver diseases. Graph theory can be used to analyze liver networks and identify altered nodes and edges, which may serve as potential noninvasive biomarkers for disease detection. Furthermore, graph‐based techniques, including graph neural networks and graph knowledge, have been employed to construct interaction networks, providing insights into the communication involved in focal liver diseases and related conditions such as coronavirus disease 2019 (COVID‐19), hepatic muscular atrophy, and hepatic necrosis. Functional networks for the liver have also been developed with graph‐based methods, providing insights into the metabolic processes occurring in the liver and the functional organization of the liver. Graph theory is also useful for image analysis, with applications such as image segmentation, registration, synthesis, and object identification. By representing images as graphs, it is possible to analyze and process them with graph‐based algorithms, handling complex relationships among pixels and making them useful in boundary extraction and texture analysis. Overall, graph theory is an essential research tool for liver research, providing valuable insights into the complex interactions underlying liver diseases as well as innovative approaches for diagnosis and treatment.

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Correlative Multimodal Imaging for Multiscale Analysis of Complex Biological Systems: Validation Methods and Performance Analysis

Correia Marques,

Wehrle,

Müller

2023

Reference Series in Biomedical Engineering

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Elastic Registration Based on Compliance Analysis and Biomechanical Graph Matching

Cited by 9 publications

References 20 publications

Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis

Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis

Application of graph theory in liver research: A review

Correlative Multimodal Imaging for Multiscale Analysis of Complex Biological Systems: Validation Methods and Performance Analysis

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