A feature-based, nonrigid image registration method using a Hausdorff distance-based
matching measure is presented. The proposed method is robust to outliers and missing …

The direct registration problem for images of a deforming surface has been well studied.
Parametric flexible warps based, for instance, on the Free-Form Deformation or a Radial …

Non-rigid image registration is a challenging task in medical image analysis. In recent years,
there are two essential issues. First, intensity similarity is not necessarily equivalent to …

An intensity-based non-rigid registration algorithm is discussed, which uses Gaussian
smoothing to constrain the transformation to be smooth, and thus preserves the topology of …

This paper presents a general learning framework for non-rigid registration of MR brain
images. Given a set of training MR brain images, three major types of information are …

Despite intensive efforts for decades, deformable image registration is still a challenging
problem due to the potential large anatomical differences across individual images, which …

In point-based monomodal image registration, registration accuracy relies heavily on control
point (CP) locations and correspondences. However, CP extraction and correspondence …

Non-rigid image registration is an important preprocessing step in many medical image
applications, but it is also a very computation intensive task. In this paper, a fast adaptive …

A non-rigid feature registration method using the Hausdorff distance is presented in this
paper. Based on B-splines, the proposed method is able to handle elastic deformations …

Purpose Nonrigid image registration using a cubic B-splines transformation model is well
known approach in medical imaging. Although, it is successfully applied to medical image …