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

被引:34
作者
Carroll, J. R. Dame
Chandra, A.
Jones, A. S.
Berend, N.
Magnussen, J. S.
King, G. G. [1 ]
机构
[1] Univ Sydney, Woolcock Inst Med Res, Sydney, NSW 2006, Australia
[2] Univ Sydney, Cooperat Res Ctr Asthma, Sydney, NSW 2006, Australia
[3] Univ Sydney, Key Ctr Microscopy & Microanal, Sydney, NSW 2006, Australia
[4] Royal N Shore Hosp, Dept Resp Med, St Leonards, NSW 2065, Australia
[5] Royal Prince Alfred Hosp, Dept Radiol, Camperdown, NSW 2050, Australia
关键词
computer-assisted image processing; imaging; phantoms; validation studies;
D O I
10.1183/09031936.06.00012405
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
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 FIRCT 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 FIRCT and micro-CT. A total of 59 lumen area (Ai), 30 wall area (Aaw) 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, Aaw and Vi HRCT measurements were determined. The current authors found a systematic, size-dependent underestimation of Ai and overestimation of Aaw from HRCT measurements. This was used to calibrate an HRCT measurement algorithm. The 95% limits of agreement of subsequent measurements were +/- 3.2 mm(2) for Ai, +/- 4.3 mm(2) for Aaw, and +/- 11.2 mm(3) for Vi with no systematic error. Morphometric measurements agreed with micro-CT ( +/- 2.5 mm(2)) 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.
引用
收藏
页码:712 / 720
页数:9
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