Using Volume Segmentation of Cine MR Data to Evaluate Dynamic Motion of the Airway in Pediatric Patients

Abbott, M. Bret; Dardzinski, Bernard J.; Donnelly, Lane F.

doi:10.2214/ajr.181.3.1810857

Cited by 15 publications

(8 citation statements)

References 10 publications

(49 reference statements)

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“…Volume segmentation provides continuous numeric measures of airway wall motion that are more amenable to typical statistical comparisons (29). The ability to plot a time course for airway volume provides a perspective on airway dynamics and clearly demonstrates both airway distention and collapse.…”

Section: Discussionmentioning

confidence: 99%

“…The region of interest for volume segmentation was manually selected by a single reviewer (M.B.A.) to encompass the entire cross section of the hypopharynx. The matrix of signal intensity data within the region of interest was then analyzed with the k-means clustering segmentation algorithm within CCHIPS (29). The region of interest was segmented for the entire data set (all sections over all time evaluated) into three signal intensity levels.…”

Section: Volume Segmentation Analysismentioning

confidence: 99%

“…Two soft-tissue segments were used to compensate for motion artifacts and intrinsic air-soft-tissue interface artifacts. By using a third segment to account for noise, the volumes calculated were thought to more accurately reflect the patent portion of the airway (29). The image segment that represented the patent airway was selected, and airway volume was plotted as a function of time.…”

Section: Volume Segmentation Analysismentioning

confidence: 99%

“…Sagittal cine MR images are reminiscent of sleep fluoroscopic studies and provide exquisite views of the airway from nares to trachea (20,26 -28). The use of transverse MR imaging in OSA is relatively unexplored (28,29). Transverse cross-sectional images of the airway complement the sagittal views.…”

mentioning

confidence: 99%

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Obstructive Sleep Apnea: MR Imaging Volume Segmentation Analysis

Abbott¹,

Donnelly²,

Dardzinski³

et al. 2004

Radiology

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Section: Discussionmentioning

confidence: 99%

Section: Volume Segmentation Analysismentioning

confidence: 99%

Section: Volume Segmentation Analysismentioning

confidence: 99%

mentioning

confidence: 99%

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Obstructive Sleep Apnea: MR Imaging Volume Segmentation Analysis

Abbott¹,

Donnelly²,

Dardzinski³

et al. 2004

Radiology

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“…Techniques exist to evaluate the upper airway, such as cine magnetic resonance imaging (MRI), which yields both dynamic and 3-diminensional data. [17][18][19] But cine MRI is not available at all institutions, and its role in evaluating children with PRS has not yet been evaluated.…”

Section: Treatment Options For Severe Upper Airway Obstruction In Piementioning

confidence: 99%

Treatment Options for Severe Upper Airway Obstruction in Pierre-Robin Sequence

Elluru

2005

The Journal of Pediatrics

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A novel method to generate dynamic boundary conditions for airway CFD by mapping upper airway movement with non‐rigid registration of dynamic and static MRI

Bates

Schuh

McConnell

et al. 2018

Numer Methods Biomed Eng

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Computational fluid dynamics (CFD) simulations of airflow in the human airways have the potential to provide a great deal of information that can aid clinicians in case management and surgical decision making, such as airway resistance, energy expenditure, airflow distribution, heat and moisture transfer, and particle deposition, as well as the change in each of these due to surgical interventions. However, the clinical relevance of CFD simulations has been limited to date, as previous models either did not incorporate neuromuscular motion or any motion at all. Many common airway pathologies, such as obstructive sleep apnea (OSA) and tracheomalacia, involve large movements of the structures surrounding the airway, such as the tongue and soft palate. Airway wall motion may be due to many factors including neuromuscular motion, internal aerodynamic forces, and external forces such as gravity. Therefore, to realistically model these airway diseases, a method is required to derive the airway wall motion, whatever the cause, and apply it as a boundary condition to CFD simulations. This paper presents and validates a novel method of capturing in vivo motion of airway walls from magnetic resonance images with high spatiotemporal resolution, through a novel combination of non-rigid image, surface, and surface-normal-vector registration. Coupled with image-synchronous pneumotachography, this technique provides the necessary boundary conditions for dynamic CFD simulations of breathing, allowing the effect of the airway's complex motion to be calculated for the first time, in both normal subjects and those with conditions such as OSA.

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Using Volume Segmentation of Cine MR Data to Evaluate Dynamic Motion of the Airway in Pediatric Patients

Abstract: A Downloaded from www.ajronline.org by 210.211.246.122 on 10/09/15 from IP address 210.211.246.122.

Cited by 15 publications

References 10 publications

Obstructive Sleep Apnea: MR Imaging Volume Segmentation Analysis

Obstructive Sleep Apnea: MR Imaging Volume Segmentation Analysis

Treatment Options for Severe Upper Airway Obstruction in Pierre-Robin Sequence

A novel method to generate dynamic boundary conditions for airway CFD by mapping upper airway movement with non‐rigid registration of dynamic and static MRI

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