Literature DB >> 16870669

Airway dimensions measured from micro-computed tomography and high-resolution computed tomography.

J R Dame Carroll1, A Chandra, A S Jones, N Berend, J S Magnussen, G G King.   

Abstract

Volume averaging results in both over- and underestimation of airway dimensions when they are measured by high-resolution computed tomography (HRCT). The current authors calibrated computerised measurements of airway dimensions from HRCT against a novel three-dimensional micro-computed tomography (CT) standard, which has a 50-fold greater resolution, as well as against traditional morphometry. Inflation-fixed porcine lung cubes were scanned by HRCT and micro-CT. A total of 59 lumen area (Ai), 30 wall area (A(aw)) and 11 lumen volume (Vi) measurements were made. Ai was measured from the cut surface of 11 airways by morphometry. Airways in scanned images were matched using branching points. After calibration, the errors of Ai, A(aw) and Vi HRCT measurements were determined. The current authors found a systematic, size-dependent underestimation of Ai and overestimation of A(aw) from HRCT measurements. This was used to calibrate an HRCT measurement algorithm. The 95% limits of agreement of subsequent measurements were +/-3.2 mm2 for Ai, +/-4.3 mm2 for A(aw), and +/-11.2 mm3 for Vi with no systematic error. Morphometric measurements agreed with micro-CT (+/-2.5 mm2) without systematic error. In conclusion, micro-computed tomography image data from inflation-fixed airways can be used as calibration standards for three-dimensional lumen volume measurements from high-resolution computed tomography, while morphometry is acceptable for two-dimensional measurements. The image dataset could be used to validate other developmental three-dimensional segmentation algorithms.

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Year:  2006        PMID: 16870669     DOI: 10.1183/09031936.06.00012405

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  12 in total

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Authors:  Kevin R Minard; Andrew P Kuprat; Senthil Kabilan; Richard E Jacob; Daniel R Einstein; James P Carson; Richard A Corley
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3.  Variability of bronchial measurements obtained by sequential CT using two computer-based methods.

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4.  Finite element 3D reconstruction of the pulmonary acinus imaged by synchrotron X-ray tomography.

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Authors:  Robert H Brown; Robert J Henderson; Elizabeth A Sugar; Janet T Holbrook; Robert A Wise
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8.  Development and validation of automated 2D-3D bronchial airway matching to track changes in regional bronchial morphology using serial low-dose chest CT scans in children with chronic lung disease.

Authors:  Pavithra Raman; Raghav Raman; Beverley Newman; Raman Venkatraman; Bhargav Raman; Terry E Robinson
Journal:  J Digit Imaging       Date:  2009-09-15       Impact factor: 4.056

9.  Long-Range Optical Coherence Tomography of the Neonatal Upper Airway for Early Diagnosis of Intubation-related Subglottic Injury.

Authors:  Giriraj K Sharma; Gurpreet S Ahuja; Maximilian Wiedmann; Kathryn E Osann; Erica Su; Andrew E Heidari; Joseph C Jing; Yueqiao Qu; Frances Lazarow; Alex Wang; Lidek Chou; Cherry C Uy; Vijay Dhar; John P Cleary; Nguyen Pham; Kevin Huoh; Zhongping Chen; Brian J-F Wong
Journal:  Am J Respir Crit Care Med       Date:  2015-12-15       Impact factor: 21.405

10.  Paired inspiratory-expiratory chest CT scans to assess for small airways disease in COPD.

Authors:  Craig P Hersh; George R Washko; Raúl San José Estépar; Sharon Lutz; Paul J Friedman; MeiLan K Han; John E Hokanson; Philip F Judy; David A Lynch; Barry J Make; Nathaniel Marchetti; John D Newell; Frank C Sciurba; James D Crapo; Edwin K Silverman
Journal:  Respir Res       Date:  2013-04-08
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