Semiautomatic assessment of respiratory dynamics using cine MRI in chronic obstructive pulmonary disease

Sato, Hirotaka; Kawata, Naoko; Shimada, Ayako; Iwao, Yuma; Wang, Hongzhi; Masuda, Yoshitada; Haneishi, Hideaki; Suzuki, Takuji

doi:10.1016/j.ejro.2022.100442

Cited by 6 publications

(5 citation statements)

References 40 publications

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“…Several methods for diaphragm measurement and motion analysis have been reported previously [12][13][14][15][16][17][18][19][20][21][22]. Our method offers three key advantages over these earlier methods.…”

Section: Discussionmentioning

confidence: 97%

“…Our method offers three key advantages over these earlier methods. 1) Unlike 2D methods [12, 13, 19, 20, 22] which focus only at a couple of 2D planar locations, our approach affords full analysis on the 3D/4D surface of the diaphragm dome and its different local 3D regions. Although some methods acquire full 3D images [14, 18] with excellent temporal resolution, their spatial resolution is poorer than that offered by our approach.…”

Section: Discussionmentioning

confidence: 99%

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Quantifying Normal Diaphragmatic Motion and Shape and their Developmental Changes via Dynamic MRI

Hao,

Udupa,

Tong

et al. 2024

Preprint

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Background: The diaphragm is a critical structure in respiratory function, yet in-vivo quantitative description of its motion available in the literature is limited. Research Question: How to quantitatively describe regional hemi-diaphragmatic motion and curvature via free-breathing dynamic magnetic resonance imaging (dMRI)? Study Design and Methods: In this prospective cohort study we gathered dMRI images of 177 normal children and segmented hemi-diaphragm domes in end-inspiration and end-expiration phases of the constructed 4D image. We selected 25 points uniformly located on each 3D hemi-diaphragm surface. Based on the motion and local shape of hemi-diaphragm at these points, we computed the velocities and sagittal and coronal curvatures in 13 regions on each hemi-diaphragm surface and analyzed the change in these properties with age and gender. Results: Our cohort consisted of 94 Females, 6-20 years (12.09±3.73), and 83 Males, 6-20 years (11.88±3.57). We observed velocity range: ~2mm/s to ~13mm/s; Curvature range - Sagittal: ~3m-1 to ~27m-1; Coronal: ~6m-1 to ~20m-1. There was no significant difference in velocity between genders, although the pattern of change in velocity with age was different for the two groups. Strong correlations in velocity were observed between homologous regions of right and left hemi-diaphragms. There was no significant difference in curvatures between genders or change in curvatures with age. Interpretation: Regional motion/curvature of the 3D diaphragmatic surface can be estimated using free-breathing dynamic MRI. Our analysis sheds light on here-to-fore unknown matters such as how the pediatric 3D hemi-diaphragm motion/shape varies regionally, between right and left hemi-diaphragms, between genders, and with age.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Quantifying Normal Diaphragmatic Motion and Shape and their Developmental Changes via Dynamic MRI

Hao,

Udupa,

Tong

et al. 2024

Preprint

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“…In the past decades, numerous studies on tomography-imaging-based motion assessments of the respiratory lung or diaphragm motion have been performed [15][16][17][18][19]. Chun et al [15] used a chest X-ray to evaluate diaphragm motion before and after pulmonary rehabilitation for patients with COPD by measuring the area of motion of the diaphragm between maximum inspiration and expiration, which can help verify the effects of rehabilitation.…”

Section: Introductionmentioning

confidence: 99%

“…Suga et al [18] used dynamic breathing MRI (BMRI) data to measure the height of the lung and the thickness of the chest wall during approximately two respiration cycles to quantitatively evaluate the impaired respiratory mechanics of patients. Sato et al [19] first extracted the lung area using the clustering approach, termed K-means [21], and the asynchronized motion of the diaphragm was assessed by comparing the displacement of three equispaced positions on the diaphragm. In addition, the relationships between the extracted lung area and other clinical indices, such as FVC and FEV1, were investigated.…”

Section: Introductionmentioning

confidence: 99%

“…However, obvious waveform differences exist among the respiration cycles for each subject, including the period and the peak amplitude. Second, some conventional methods only investigate the motions of relatively few positions in the lung or on the diaphragm, which may ignore some motion characteristics for some positions [16,18,19]. These two limitations with conventional methods motivated us to propose a novel diaphragm motion evaluation method that considers continuous respiration activity with multiple cycles and all positions in the diaphragm profile.…”

Section: Introductionmentioning

confidence: 99%

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Respiratory Diaphragm Motion-Based Asynchronization and Limitation Evaluation on Chronic Obstructive Pulmonary Disease

Zhou,

Ye,

Iwao

et al. 2023

Diagnostics

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Background: Chronic obstructive pulmonary disease (COPD) typically causes airflow blockage and breathing difficulties, which may result in the abnormal morphology and motion of the lungs or diaphragm. Purpose: This study aims to quantitatively evaluate respiratory diaphragm motion using a thoracic sagittal magnetic resonance imaging (MRI) series, including motion asynchronization and limitations. Method: First, the diaphragm profile is extracted using a deep-learning-based field segmentation approach. Next, by measuring the motion waveforms of each position in the extracted diaphragm profile, obvious differences in the independent respiration cycles, such as the period and peak amplitude, are verified. Finally, focusing on multiple breathing cycles, the similarity and amplitude of the motion waveforms are evaluated using the normalized correlation coefficient (NCC) and absolute amplitude. Results and Contributions: Compared with normal subjects, patients with severe COPD tend to have lower NCC and absolute amplitude values, suggesting motion asynchronization and limitation of their diaphragms. Our proposed diaphragmatic motion evaluation method may assist in the diagnosis and therapeutic planning of COPD.

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Estimation of threshold thickness of residual normal tissue in lung dysfunction detectable by dynamic chest radiography: A virtual imaging trial

Yamaguchi,

Tanaka,

Matsumoto

et al. 2024

Medical Physics

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BackgroundDynamic chest radiography (DCR) is a recently developed functional x‐ray imaging technique that detects pulmonary ventilation impairment as a decrease in changes in lung density during respiration. However, the diagnostic performance of DCR is uncertain owing to an insufficient number of clinical cases. One solution is virtual imaging trials (VITs), which is an emerging alternative method for efficiently evaluating medical imaging technology via computer simulation techniques.PurposeThis study aimed to estimate the typical threshold thickness of residual normal tissue below which the presence of emphysema may be detected by DCR via VITs using virtual patients with different physiques and a user‐defined ground truth.MethodsTwenty extended cardiac‐torso (XCAT) phantoms that exhibited changes in lung density during respiration were generated to simulate virtual patients. To simulate a locally collapsed lung, an air sphere was inserted into each lung regions in the phantom. The XCAT phantom was virtually projected using an x‐ray simulator. The respiratory changes in pixel value (ΔPV) were measured on the projected air spheres (simulated lesions) to calculate the percentage of decrease (ΔPV%) relative to ΔPVexp‐ins in the absence of an air sphere. The relationship between the amount of residual normal tissue and ΔPV% was fitted to a cubic approximation curve (hereafter, performance curve), and the threshold at which the ΔPV% began to decrease (normal‐tissuethre) was determined. The goodness of fit for each performance curve was evaluated according to the coefficient of determination (R2) and the 95% confidence interval derived from the standard errors between the measured and theoretical values corresponding to each performance curve. The ΔPV% was also visualized as a color scaling to validate the results of the VITs in both virtual and clinical patients.ResultsFor each lung region in all body sizes, the ΔPV% decreased as the amount of residual normal tissue decreased and could be defined as a function of the amount of residual normal tissue in front of and behind the simulated lesions with high R2 values. Meanwhile, the difference between the measured and theoretical values corresponding to each performance curve was only partially included in the 95% confidence interval. The normal‐tissuethre values were 146.0, 179.5, and 170.9 mm for the upper, middle, and lower lungs, respectively, which were demonstrated in virtual patients and one real patient, where the value of the residual normal tissue was less than that of normal‐tissuethre; any reduction in the residual normal tissue was reflected as a reduced ΔPV and depicted as a reduced color intensity.ConclusionsThe performance of DCR‐based pulmonary impairment assessment depends on the amount of residual normal tissue in front of and behind the lesion rather than on the lesion size. The performance curve can be defined as a function of the amount of residual normal tissue in each lung region with a specific threshold of normal tissue remaining where lesions become detectable, shown as a decrease in ΔPV. The results of VITs are expected to accelerate future clinical trials for DCR‐based pulmonary function assessment.

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Semiautomatic assessment of respiratory dynamics using cine MRI in chronic obstructive pulmonary disease

Cited by 6 publications

References 40 publications

Quantifying Normal Diaphragmatic Motion and Shape and their Developmental Changes via Dynamic MRI

Quantifying Normal Diaphragmatic Motion and Shape and their Developmental Changes via Dynamic MRI

Respiratory Diaphragm Motion-Based Asynchronization and Limitation Evaluation on Chronic Obstructive Pulmonary Disease

Estimation of threshold thickness of residual normal tissue in lung dysfunction detectable by dynamic chest radiography: A virtual imaging trial

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