Alignment of CT Lung Volumes with an Optical Flow Method

Abstract

Rationale and Objectives This study was performed to evaluate an optical flow method for registering serial computed tomographic (CT) images of lung volumes to assist physicians in visualizing and assessing changes between CT scans. Materials and Methods The optical flow method is a coarse-to-fine model-based motion estimation technique for estimating first a global parametric transformation and then local deformations. Five serial pairs of CT images of lung volumes that were misaligned because of patient positioning, respiration, and/or different fields of view were used to test the method. Results Lung volumes depicted on the serial paired images initially were correlated at only 28%–68% because of misalignment. With use of the optical flow method, the serial images were aligned to at least 95% correlation. Conclusion The optical flow method enables a direct comparison of serial CT images of lung volumes for the assessment of nodules or functional changes in the lung.