Registration-based regional lung mechanical analysis: retrospectively reconstructed dynamic imaging versus static breath-hold image acquisition

Kai Ding; Kunlin Cao; Gary E. Christensen; Eric A. Hoffman; Joseph M. Reinhardt

doi:10.1117/12.813694

27 February 2009 Registration-based regional lung mechanical analysis: retrospectively reconstructed dynamic imaging versus static breath-hold image acquisition

Kai Ding, Kunlin Cao, Gary E. Christensen, Eric A. Hoffman, Joseph M. Reinhardt

Author Affiliations +

Proceedings Volume 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging; 72620D (2009) https://doi.org/10.1117/12.813694
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

The lungs undergo expansion and contraction during the respiratory cycle. Since many disease or injury conditions are associated with the biomechanical or material property changes that can alter lung function, there is a great interest in measuring regional lung ventilation and regional mechanical changes. We describe a technique that uses multiple respiratory-gated CT images and non-rigid 3D image registration to make local estimates of lung tissue expansion. The degree of regional lung expansion is measured using the Jacobian (a function of local partial derivatives) of the registration displacement field. We compare the ventral-dorsal patterns of lung expansion estimated in both retrospectively reconstructed dynamic scans and static breath-hold scans to a xenon CT based measure of specific ventilation and a semi-automatic reference standard in four anesthetized sheep studied in the supine orientation. The regional lung expansion estimated by 3D image registration of images acquired at 50% and 75% phase points of the inspiratory portion of the respiratory cycle and 20 cm H₂O and 25 cm H₂O airway pressures gave the best match between the average Jacobian and the xenon CT specific ventilation respectively (linear regression, average r² = 0.85 and r² = 0.84). The registration accuracy assessed by 200 semi-automatically matched landmarks in both the dynamic and static scans show landmark error on the order of 2 mm.

Citation Download Citation

Kai Ding, Kunlin Cao, Gary E. Christensen, Eric A. Hoffman, and Joseph M. Reinhardt "Registration-based regional lung mechanical analysis: retrospectively reconstructed dynamic imaging versus static breath-hold image acquisition", Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72620D (27 February 2009); https://doi.org/10.1117/12.813694

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