Repeatability of dynamic <scp>3D</scp> phase‐resolved functional lung (PREFUL) ventilation <scp>MR</scp> Imaging in patients with chronic obstructive pulmonary disease and healthy volunteers

Klimeš, Filip; Voskrebenzev, Andreas; Gutberlet, Marcel; Obert, Arnd; Pöhler, Gesa H.; Grimm, Robert; Behrendt, Lea; Crisosto, Cristian; Glandorf, Julian; Alsady, Tawfik Moher; Wacker, Frank; Vogel‐Claussen, Jens

doi:10.1002/jmri.27543

Cited by 18 publications

(32 citation statements)

References 36 publications

(51 reference statements)

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“…This fact suggests that GOREG in particular improves the repeatability of the dynamic 3D PREFUL ventilation parameters. 10 Furthermore, similar repeatability of 3D PREFUL static and dynamic ventilation parameters was achieved using Forsberg GOREG in comparison with ANTs GOREG. The derived median CoV and ICC values using Forsberg registration are in good agreement with previous 2D PREFUL MRI study results.…”

Section: Discussionmentioning

confidence: 55%

“…The image reconstruction has been described in detail elsewhere. 1,10 Briefly, the acquired spokes are sorted into respiratory bins using a respiratory curve derived by the automatic segmented lung volume from 3D low-resolution images with a spatial resolution of 16 mm 3 . Then the fullresolution images with approximately 40 respiratory phases are reconstructed.…”

Section: D Preful Mri Postprocessingmentioning

confidence: 99%

“…In previous publications, 1,10 stepwise registration of approximately 40 phases towards end-inspiration was implemented, so that deformation fields are calculated for neighboring respiratory states in direction to end-inspiration (i.e., the 20th respiratory phase). Then the deformation fields are used consecutively to register all images to the end-inspiration image; for example, for the first respiratory phase, 19 deformation fields are applied in order to register the first respiratory phase on the 20th respiratory phase.…”

Section: Stepwise Registrationmentioning

confidence: 99%

“…Ventilation defect percentage (VDP) maps were generated for RVent and CC (VDP RVent and VDP CC ) using published thresholds. 1,10 For VDP RVent , all RVent values below the 90th percentile multiplied by a factor of 0.4 were identified as voxels with a ventilation defect. For a VDP CC , a threshold of 0.9 was chosen and all CC values below this threshold were classified as voxels with a ventilation deficit.…”

Section: Ventilation Parameters Extractionmentioning

confidence: 99%

“…Recently, a good to moderate repeatability of 3D PREFUL ventilation parameters in healthy volunteers and COPD patients was reported using stepwise registration to end-inspiratory state. 10 However, the impact of single-step registration and GOREG on the repeatability of 3D PREFUL ventilation parameters has not been tested yet.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of image registration algorithms for 3D phase‐resolved functional lung ventilation magnetic resonance imaging in healthy volunteers and chronic obstructive pulmonary disease patients

et al. 2022

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The purpose of the current study was to assess the influence of the registration algorithms on the repeatability of three‐dimensional (3D) phase‐resolved functional lung (PREFUL) ventilation magnetic resonance imaging (MRI). Twenty‐three healthy volunteers and 10 patients with chronic obstructive pulmonary disease (COPD) underwent 3D PREFUL MRI during tidal breathing. The registration of dynamically acquired data to a fixed image was executed using single‐step, stepwise, and group‐oriented registration (GOREG) approaches. Advanced Normalization Tools (ANTs) and the Forsberg image‐registration package were used for the registration. Image registration algorithms were tested for differences and evaluated by the repeatability analysis of ventilation parameters using coefficient of variation (CoV), intraclass‐correlation coefficient, Bland–Altman plots, and correlation to spirometry. Also, the registration time and image quality were computed for all registration approaches. Very strong to strong correlations (r range: 0.917–0.999) were observed between ventilation parameters derived using various registration approaches. Median CoV values of the cross‐correlation (CC) parameter were significantly lower (all p ≤ 0.0054) for ANTs GOREG compared with single‐step and stepwise ANTs registration. The majority of comparisons between COPD patients and age‐matched healthy volunteers showed agreement among the registration approaches. The repeatability of regional ventilation (RVent)‐based ventilation defect percentage (VDPRVent) and VDPCC was significantly higher (both p ≤ 0.0054) for Forsberg GOREG compared with ANTs GOREG. All 3D PREFUL‐derived ventilation parameters correlated with forced expiratory volume in 1 s (FEV1) and the FEV1/ forced vital capacity (FVC) ratio (all |r| > 0.40, all p < 0.03). The image sharpness of RVent maps was statistically elevated (all p < 0.001) using GOREG compared with single‐step and stepwise registration approaches using ANTs. The best computational performance was achieved with Forsberg GOREG. The GOREG scheme improves the repeatability and image quality of dynamic 3D PREFUL ventilation parameters. Registration time can be ~10‐fold reduced to 9 min using the Forsberg method with equal or even improved repeatability and comparable PREFUL ventilation results compared with the ANTs method.

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Section: Discussionmentioning

confidence: 55%

Section: D Preful Mri Postprocessingmentioning

confidence: 99%

Section: Stepwise Registrationmentioning

confidence: 99%

Section: Ventilation Parameters Extractionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of image registration algorithms for 3D phase‐resolved functional lung ventilation magnetic resonance imaging in healthy volunteers and chronic obstructive pulmonary disease patients

et al. 2022

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Editorial for “Repeatability of Dynamic 3D Phase‐Resolved Functional Lung (PREFUL) Ventilation MR Imaging in Patients With Chronic Obstructive Pulmonary Disease and Healthy Volunteers”

Wang

2021

Magnetic Resonance Imaging

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R egional functional ventilation is important in evaluating lung diseases and can be measured by using computer tomography, 1 but with a cost of harmful radiation. Low proton density, abundant air-tissue interfaces with respiratory and cardiac motion interference prevented routine magnetic resonance imaging (MRI) exams in the lungs. In recent years, pulmonary ventilation has been investigated by using hyperpolarized gas MRI, 2 fluorinated gas MRI, 3 oxygen-enhanced MRI, 4 and proton-based Fourier decomposition (FD) MRI. 5 Hyperpolarized gas MRI can generate high-resolution regional ventilation maps with high signal-to-noise ratio (SNR) and have been investigated in different lung disease, 2 but suffers from a high cost of inhaled gaseous contrast agents and additional hardware (polarizer, transmit/receive coils) while oxygenenhanced MRI and fluorinated gas MRI suffers from poor SNR. FD MRI is developed based on the periodic property of respiratory and cardiac motion as well as the advancement of the image post-processing techniques. 5 Phase-resolved function lung (PREFUL) MRI, an FD-based technique, has shown promising results in imaging dynamic lung ventilation. 6 In this issue of JMRI, Klimeš et al report on a repeatability study of three-dimensional (3D) PREFUL MRI in 53 healthy subjects and 13 patients with chronic obstructive pulmonary disease (COPD), and compare with pulmonary function tests (PFT). 7 They report no significant bias and a moderate to good repeatability in derived ventilation parameters and a good correlation with PFT parameters. The success rate of 3D PREFUL MRI scans was high, at 99.1%. This result demonstrates a good clinical potential of 3D PREFUL MRI in evaluating regional pulmonary ventilation.Although a global bias is not observed, the regional repeatability of the ventilation maps from 3D PERFUL was not evaluated and remains an unsolved question. This article by Klimeš et al 7 is an important step required to develop and optimize robust and trusted functional lung MRI imaging protocol.

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Editorial for “Validation of Phase‐Resolved Functional Lung (PREFUL) Magnetic Resonance Imaging Pulse Wave Transit Time in Healthy Subjects and Chronic Obstructive Pulmonary Disease”

Zhang

Kang

2021

Magnetic Resonance Imaging

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Repeatability of dynamic 3D phase‐resolved functional lung (PREFUL) ventilation MR Imaging in patients with chronic obstructive pulmonary disease and healthy volunteers

Cited by 18 publications

References 36 publications

Evaluation of image registration algorithms for 3D phase‐resolved functional lung ventilation magnetic resonance imaging in healthy volunteers and chronic obstructive pulmonary disease patients

Evaluation of image registration algorithms for 3D phase‐resolved functional lung ventilation magnetic resonance imaging in healthy volunteers and chronic obstructive pulmonary disease patients

Editorial for “Repeatability of Dynamic 3D Phase‐Resolved Functional Lung (PREFUL) Ventilation MR Imaging in Patients With Chronic Obstructive Pulmonary Disease and Healthy Volunteers”

Editorial for “Validation of Phase‐Resolved Functional Lung (PREFUL) Magnetic Resonance Imaging Pulse Wave Transit Time in Healthy Subjects and Chronic Obstructive Pulmonary Disease”

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