Abstract--We propose a framework for the nonlinear spatiotemporal registration of 4D time-series of images based on the Diffeomorphic Demons (DD) algorithm. In this framework, the ...
Jean-Marc Peyrat, Herve Delingette, Maxime Sermesa...
Abstract— A core challenge in probabilistic mapping is to extract meaningful uncertainty information from data registration methods. While this has been investigated in ICP-based...
Imaging techniques for measuring lung ventilation are essential tools to study lung tissue response to radiation therapy. Most of the existing CT and image registration based vent...
Kai Ding, Kaifang Du, Kunlin Cao, Gary E. Christen...
This paper describes a hierarchical image registration algorithm for affine motion recovery. The algorithm estimates the affine transformation parameters necessary to register any...
Hybrid registration schemes are a powerful alternative to fully automatic registration algorithms. Current methods for hybrid registration either include the landmark information a...