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MICCAI
2009
Springer

Non-rigid Image Registration with Uniform Gradient Spherical Patterns

9 years 7 months ago
Non-rigid Image Registration with Uniform Gradient Spherical Patterns
Abstract. In this paper, we propose a new feature based non-rigid image registration method for dealing with two important issues. First, in order to establish reliable anatomical correspondence between template and subject images, efficient and distinctive region descriptor is needed as intensity information alone maybe insufficient. Second, since interference factors such as monotonic gray-level bias fields are commonly existed during the imaging process, the registration algorithm should be robust against such factors. There are two main contributions presented in this paper. (1) A new region descriptor, named uniform gradient spherical pattern (UGSP), is proposed to extract the geometric features from input images. UGSP encodes second order voxel interaction information. (2) The UGSP feature is rotation and monotonic gray-level bias field invariant. The proposed method is integrated with the Markov random field (MRF) labeling framework to formulate the registration process. The exp...
Shu Liao, Albert C. S. Chung
Added 06 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2009
Where MICCAI
Authors Shu Liao, Albert C. S. Chung
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