Reproducibility of Four-dimensional Computed Tomography-based Lung Ventilation Imaging

Tokihiro Yamamoto, Sven Kabus, Jens von Berg, Cristian Lorenz, Melody P. Chung, Julian C. Hong, Billy W. Loo, Paul J. Keall

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

Rationale and Objectives: A novel ventilation imaging method based on four-dimensional (4D) computed tomography (CT) has been applied to the field of radiation oncology. Understanding its reproducibility is a prerequisite for clinical applications. The purpose of this study was to quantify the reproducibility of 4D CT ventilation imaging over different days and the same session. Materials and Methods: Two ventilation images were created from repeat 4D CT scans acquired over the average time frames of 15 days for 6 lung cancer patients and 5 minutes for another 6 patients. The reproducibility was quantified using the voxel-based Spearman rank correlation coefficients for all lung voxels and Dice similarity coefficients (DSC) for the spatial overlap of segmented high-, moderate-, and low-functional lung volumes. Furthermore, the relationship between the variation in abdominal motion range as a measure of the depth of breathing and variation in ventilation was evaluated using linear regression. Results: The voxel-based correlation between the two ventilation images was moderate on average (0.50 ± 0.15). The DSCs were also moderate for the high- (0.60 ± 0.08), moderate- (0.46 ± 0.06), and low-functional lung (0.58 ± 0.09). No patients demonstrated strong correlations. The relationship between the motion range variation and ventilation variation was found to be moderate and significant. Conclusions: We investigated the reproducibility of 4D CT ventilation imaging over the time frames of 15 days and 5 minutes and found that it was only moderately reproducible. Respiratory variation during 4D CT scans was found to deteriorate the reproducibility. Improvement of 4D CT imaging is necessary to increase the reproducibility of 4D CT ventilation imaging.

Original languageEnglish (US)
Pages (from-to)1554-1565
Number of pages12
JournalAcademic Radiology
Volume19
Issue number12
DOIs
StatePublished - Dec 2012
Externally publishedYes

Fingerprint

Four-Dimensional Computed Tomography
Ventilation
Lung
Articular Range of Motion
Radiation Oncology
Nonparametric Statistics
Linear Models
Lung Neoplasms
Respiration

Keywords

  • Deformable image registration
  • Four-dimensional (4D) CT
  • Functional imaging
  • Lung
  • Reproducibility
  • Ventilation

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Yamamoto, T., Kabus, S., von Berg, J., Lorenz, C., Chung, M. P., Hong, J. C., ... Keall, P. J. (2012). Reproducibility of Four-dimensional Computed Tomography-based Lung Ventilation Imaging. Academic Radiology, 19(12), 1554-1565. https://doi.org/10.1016/j.acra.2012.07.006

Reproducibility of Four-dimensional Computed Tomography-based Lung Ventilation Imaging. / Yamamoto, Tokihiro; Kabus, Sven; von Berg, Jens; Lorenz, Cristian; Chung, Melody P.; Hong, Julian C.; Loo, Billy W.; Keall, Paul J.

In: Academic Radiology, Vol. 19, No. 12, 12.2012, p. 1554-1565.

Research output: Contribution to journalArticle

Yamamoto, T, Kabus, S, von Berg, J, Lorenz, C, Chung, MP, Hong, JC, Loo, BW & Keall, PJ 2012, 'Reproducibility of Four-dimensional Computed Tomography-based Lung Ventilation Imaging', Academic Radiology, vol. 19, no. 12, pp. 1554-1565. https://doi.org/10.1016/j.acra.2012.07.006
Yamamoto, Tokihiro ; Kabus, Sven ; von Berg, Jens ; Lorenz, Cristian ; Chung, Melody P. ; Hong, Julian C. ; Loo, Billy W. ; Keall, Paul J. / Reproducibility of Four-dimensional Computed Tomography-based Lung Ventilation Imaging. In: Academic Radiology. 2012 ; Vol. 19, No. 12. pp. 1554-1565.
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abstract = "Rationale and Objectives: A novel ventilation imaging method based on four-dimensional (4D) computed tomography (CT) has been applied to the field of radiation oncology. Understanding its reproducibility is a prerequisite for clinical applications. The purpose of this study was to quantify the reproducibility of 4D CT ventilation imaging over different days and the same session. Materials and Methods: Two ventilation images were created from repeat 4D CT scans acquired over the average time frames of 15 days for 6 lung cancer patients and 5 minutes for another 6 patients. The reproducibility was quantified using the voxel-based Spearman rank correlation coefficients for all lung voxels and Dice similarity coefficients (DSC) for the spatial overlap of segmented high-, moderate-, and low-functional lung volumes. Furthermore, the relationship between the variation in abdominal motion range as a measure of the depth of breathing and variation in ventilation was evaluated using linear regression. Results: The voxel-based correlation between the two ventilation images was moderate on average (0.50 ± 0.15). The DSCs were also moderate for the high- (0.60 ± 0.08), moderate- (0.46 ± 0.06), and low-functional lung (0.58 ± 0.09). No patients demonstrated strong correlations. The relationship between the motion range variation and ventilation variation was found to be moderate and significant. Conclusions: We investigated the reproducibility of 4D CT ventilation imaging over the time frames of 15 days and 5 minutes and found that it was only moderately reproducible. Respiratory variation during 4D CT scans was found to deteriorate the reproducibility. Improvement of 4D CT imaging is necessary to increase the reproducibility of 4D CT ventilation imaging.",
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