Mutual information has been successfully used as an effective similarity measure for multimodal image registration. However, a drawback of the standard mutual information-based computation is that the joint histogram is only calculated from the correspondence between individual voxels in the two images. In this paper, the normalized mutual information measure is extended to consider the corresp...

We present a CUDA implementation of a complete registration algorithm, which is capable of aligning two multimodal images, using affine linear transformations and normalized gradient fields. Through the extensive use of different memory types, well handled thread management and efficient hardware interpolation we gained fast executing code. Contrary to the common technique of reducing kernel ca...

Description: A novel method is developed for non-rigid registration of transrectal ultrasound and magnetic resonance prostate images based on a non-linear regularized framework of point correspondences obtained from a statistical measure of shape-contexts. The segmented prostate shapes are represented by shape-contexts and the Bhattacharyya distance between the shape contexts is used to find th...

We present a theoretical and computational framework for nonrigid multimodal registration. We proceed by maximization of statistical similarity criteria (global and local) in a variational framework, and use the corresponding gradients to drive a flow of diffeomorphisms allowing large deformations. This flow is introduced through a new template propagation method, by composition of small displa...

This paper presents an approach to obtain a deformation which matches two images acquired from different medical imaging modalities. This problem arises in the investigation of human brains. Two distance functionals for the images are proposed with different pros and cons. These functionals are to be minimized. We add a smoothing term to the minimization problem which retains certain desired el...

We propose a method to efficiently compute mutual information between high-dimensional distributions of image patches. This in turn is used to perform accurate registration of images captured under different modalities, while exploiting their local structure otherwise missed in traditional mutual information definition. We achieve this by organizing the space of image patches into orbits under ...

User registration refers to associating certain personal information with a user. It is widely used in hospitals, hotels and conferences. In this paper, we propose an approach to interactive user registration by combining face recognition, speech recognition and speech synthesis technologies together through an efficient dialogue manager. In order to minimize a user’s effort, we employ a new di...