Journal of Digital Imaging

, Volume 23, Issue 6, pp 744–754

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

  • Pavithra Raman
  • Raghav Raman
  • Beverley Newman
  • Raman Venkatraman
  • Bhargav Raman
  • Terry E. Robinson
Article

DOI: 10.1007/s10278-009-9199-3

Cite this article as:
Raman, P., Raman, R., Newman, B. et al. J Digit Imaging (2010) 23: 744. doi:10.1007/s10278-009-9199-3

Abstract

To address potential concern for cumulative radiation exposure with serial spiral chest computed tomography (CT) scans in children with chronic lung disease, we developed an approach to match bronchial airways on low-dose spiral and low-dose high-resolution CT (HRCT) chest images to allow serial comparisons. An automated algorithm matches the position and orientation of bronchial airways obtained from HRCT slices with those in the spiral CT scan. To validate this algorithm, we compared manual matching vs automatic matching of bronchial airways in three pediatric patients. The mean absolute percentage difference between the manually matched spiral CT airway and the index HRCT airways were 9.4 ± 8.5% for the internal diameter measurements, 6.0 ± 4.1% for the outer diameter measurements, and 10.1 ± 9.3% for the wall thickness measurements. The mean absolute percentage difference between the automatically matched spiral CT airway measurements and index HRCT airway measurements were 9.2 ± 8.6% for the inner diameter, 5.8 ± 4.5% for the outer diameter, and 9.9 ± 9.5% for the wall thickness. The overall difference between manual and automated methods was 2.1 ± 1.2%, which was significantly less than the interuser variability of 5.1 ± 4.6% (p < 0.05). Tests of equivalence had p < 0.05, demonstrating no significant difference between the two methods. The time required for matching was significantly reduced in the automated method (p < 0.01) and was as accurate as manual matching, allowing efficient comparison of airways obtained on low-dose spiral CT imaging with low-dose HRCT scans.

Key words

3D imaging (imaging three-dimensional) algorithms chest CT computer analysis image analysis image processing image registration imaging three-dimensional lung diseases lung radiation dose reproducibility of results 

Supplementary material

10278_2009_9199_MOESM1_ESM.xls (36 kb)
ESM 1(XLS 49.5 kb)

Copyright information

© Society for Imaging Informatics in Medicine 2009

Authors and Affiliations

  • Pavithra Raman
    • 1
  • Raghav Raman
    • 2
  • Beverley Newman
    • 2
  • Raman Venkatraman
    • 1
  • Bhargav Raman
    • 2
  • Terry E. Robinson
    • 1
  1. 1.Department of PediatricsStanford University School of MedicineStanfordUSA
  2. 2.Department of RadiologyStanford University School of MedicineStanfordUSA

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