Lung Motion Estimation by Robust Point Matching and Spatiotemporal Tracking for 4D CT

We propose a deformable registration approach to estimate patient-specific lung motion during free breathing for four-dimensional (4D) computed tomography (CT) based on point matching and tracking between images in different phases. First, a robust point matching (RPM) algorithm coarsely aligns the source phase image onto all other target phase images of 4D CT. Scale-invariant feature transform (SIFT) is introduced into the cost function in order to accelerate and stabilize the convergence of the point matching.

Source: Computers in Biology and Medicine - September 18, 2016 Category: Bioinformatics Authors: Jianbing Yi, Hao Yang, Xuan Yang, Guoliang Chen Source Type: research