Comparison of Image Registration Based Measures of Regional Lung Ventilation from Dynamic Spiral CT with Xe-CT
Kai Ding, Kunlin Cao, Matthew K. Fuld, Kaifang Du, Gary E., Christensen, Eric A. Hoffman, and Joseph M. Reinhardt

TL;DR
This study compares three image registration-based measures of regional lung ventilation from 4DCT with Xe-CT, introducing a new corrected Jacobian method that shows high correlation with Xe-CT in sheep models.
Contribution
The paper proposes a new measure, the specific air volume change by corrected Jacobian, and evaluates its performance against existing methods using sheep data.
Findings
SAJ and SACJ correlate strongly with Xe-CT sV in small ROIs.
All three measures show high correlation in larger ROIs.
The corrected Jacobian measure improves regional lung mechanics assessment.
Abstract
Purpose: Regional lung volume change as a function of lung inflation serves as an index of parenchymal and airway status as well as an index of regional ventilation and can be used to detect pathologic changes over time. In this article, we propose a new regional measure of lung mechanics --- the specific air volume change by corrected Jacobian. Methods: 4DCT and Xe-CT data sets from four adult sheep are used in this study. Nonlinear, 3D image registration is applied to register an image acquired near end inspiration to an image acquired near end expiration. Approximately 200 annotated anatomical points are used as landmarks to evaluate registration accuracy. Three different registration-based measures of regional lung mechanics are derived and compared: the specific air volume change calculated from the Jacobian (SAJ); the specific air volume change calculated by the corrected…
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