Semiautomated Ventilation Defect Quantification in Exercise-induced Bronchoconstriction Using Hyperpolarized Helium-3 Magnetic Resonance Imaging

Zha, Wei; Niles, David W.; Kruger, Stanley J.; Dardzinski, Bernard J.; Cadman, Robert V.; Mummy, David; Nagle, Scott K.; Fain, Sean B.

doi:10.1016/j.acra.2016.04.005

Cited by 30 publications

(36 citation statements)

References 31 publications

(75 reference statements)

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“…Ventilation defects were quantified as a binary defect mask using adaptive K -means clustering (17) on the gas images within the proton lung mask. Whole lung VDP is calculated as the ventilation defect volume over total lung volume.…”

Section: Methodsmentioning

confidence: 99%

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Regional Heterogeneity of Lobar Ventilation in Asthma Using Hyperpolarized Helium-3 MRI

et al. 2018

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Section: Methodsmentioning

confidence: 99%

“…In either case, the clusters in between low- and high-ventilation regions were marked as medium-ventilated region. The reproducibility of this extended quantification of ventilation distribution was evaluated using the exercise-induced bronchoconstriction study cohort (17) that includes 6 subjects with each imaged at two separate visits. …”

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Regional Heterogeneity of Lobar Ventilation in Asthma Using Hyperpolarized Helium-3 MRI

et al. 2018

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“…Previous methods for HPG ventilation image segmentation have been based on manual intensity thresholding, K‐means clustering, multiple atlas labeling, and globally optimal graph cuts . He et al recently developed a method of characterizing the distribution of ventilation via linear binning, while Zha et al added an adaptive aspect of the K‐means algorithm . Segmentation of 1 H anatomical scans has been proposed using a seeded region‐growing algorithm, active contours within a closed homogeneous region, and a multiple atlas labeling approach …”

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confidence: 99%

“…Most of these segmentation techniques require little to no manual input, and the methods developed in Refs . and also grade ventilation.…”

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confidence: 99%

Spatial fuzzy c‐means thresholding for semiautomated calculation of percentage lung ventilated volume from hyperpolarized gas and ¹H MRI

Hughes

Horn

Collier

et al. 2017

Magnetic Resonance Imaging

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Purpose: To develop an image-processing pipeline for semiautomated (SA) and reproducible analysis of hyperpolarized gas lung ventilation and proton anatomical magnetic resonance imaging (MRI) scan pairs. To compare results from the software for total lung volume (TLV), ventilated volume (VV), and percentage lung ventilated volume (%VV) calculation to the current manual "basic" method and a K-means segmentation method. Materials and Methods: Six patients were imaged with hyperpolarized 3 He and same-breath lung 1 H MRI at 1.5T and six other patients were scanned with hyperpolarized 129 Xe and separate-breath 1 H MRI. One expert observer and two users with experience in lung image segmentation carried out the image analysis. Spearman (R), Intraclass (ICC) correlations, Bland-Altman limits of agreement (LOA), and Dice Similarity Coefficients (DSC) between output lung volumes were calculated. Results: When comparing values of %VV, agreement between observers improved using the SA method (mean; R 5 0.984, ICC 5 0.980, LOA 5 7.5%) when compared to the basic method (mean; R 5 0.863, ICC 5 0.873, LOA 5 14.2%) nonsignificantly (p R 5 0.25, p ICC 5 0.25, and p LOA 5 0.50 respectively). DSC of VV and TLV masks significantly improved (P < 0.01) using the SA method (mean; DSC VV 5 0.973, DSC TLV 5 0.980) when compared to the basic method (mean; DSC VV 5 0.947, DSC TLV 5 0.957). K-means systematically overestimated %VV when compared to both basic (mean overestimation 5 5.0%) and SA methods (mean overestimation 5 9.7%), and had poor agreement with the other methods (mean ICC; K-means vs. basic 5 0.685, K-means vs. SA 5 0.740). Conclusion: A semiautomated image processing software was developed that improves interobserver agreement and correlation of lung ventilation volume percentage when compared to the currently used basic method and provides more consistent segmentations than the K-means method. Level of Evidence: 3 Technical Efficacy: Stage 2

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“…3). The semi-automated binning approach has been pursued by several groups in the field [69,70] and appears to be a valuable method when compared to reader assigned ventilation defect scores [68]. …”

Section: 3helium (3he) Vs 129xenon (129xe)mentioning

confidence: 99%

The role of hyperpolarized 129xenon in MR imaging of pulmonary function

Ebner

Kammerman

Driehuys

et al. 2017

European Journal of Radiology

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In the last two decades, functional imaging of the lungs using hyperpolarized noble gases has entered the clinical stage. Both helium (3 He) and xenon (129Xe) gas have been thoroughly investigated for their ability to assess both the global and regional patterns of lung ventilation. With advances in polarizer technology and the current transition towards the widely available 129Xe gas, this method is ready for translation to the clinic. Currently, hyperpolarized (HP) noble gas lung MRI is limited to selected academic institutions; yet, the promising results from initial clinical trials have drawn the attention of the pulmonary medicine community. HP 129Xe MRI provides not only 3-dimensional ventilation imaging, but also unique capabilities for probing regional lung physiology. In this review article, we aim to (1) provide a brief overview of current ventilation MR imaging techniques, (2) emphasize the role of HP 129Xe MRI within the array of different imaging strategies, (3) discuss the unique imaging possibilities with HP 129Xe MRI, and (4) propose clinical applications.

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Semiautomated Ventilation Defect Quantification in Exercise-induced Bronchoconstriction Using Hyperpolarized Helium-3 Magnetic Resonance Imaging

Cited by 30 publications

References 31 publications

Regional Heterogeneity of Lobar Ventilation in Asthma Using Hyperpolarized Helium-3 MRI

Regional Heterogeneity of Lobar Ventilation in Asthma Using Hyperpolarized Helium-3 MRI

Spatial fuzzy c‐means thresholding for semiautomated calculation of percentage lung ventilated volume from hyperpolarized gas and ¹H MRI

The role of hyperpolarized 129xenon in MR imaging of pulmonary function

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Semiautomated Ventilation Defect Quantification in Exercise-induced Bronchoconstriction Using Hyperpolarized Helium-3 Magnetic Resonance Imaging

Cited by 30 publications

References 31 publications

Regional Heterogeneity of Lobar Ventilation in Asthma Using Hyperpolarized Helium-3 MRI

Regional Heterogeneity of Lobar Ventilation in Asthma Using Hyperpolarized Helium-3 MRI

Spatial fuzzy c‐means thresholding for semiautomated calculation of percentage lung ventilated volume from hyperpolarized gas and 1H MRI

The role of hyperpolarized 129xenon in MR imaging of pulmonary function

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Product

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Spatial fuzzy c‐means thresholding for semiautomated calculation of percentage lung ventilated volume from hyperpolarized gas and ¹H MRI