Dear Editor, The topic addressed by this brief communication is the quantification of diagnostic information and, in particular, a method of illustrating graphically the quantification of diagnostic information for binary tests. To begin, consider the following outline procedure for development of such a test. An appropriate indicator variable that will serve as a proxy for the actual variable ...

The focus of this work is on using texture information for searching, browsing and retrieving images from a large database. In the wavelet approaches, texture is characterized by its energy distribution in the decomposed subbands. However it is unclear on how to define similarity functions on extracted features; usually simple norm-based distances together with heuristic normalization are emplo...

In this paper, we propose a multi-modal image registration method based on the a priori knowledge of the expected joint intensity distribution estimated from aligned training images. The goal of the registration is to find the optimal transformation such that the discrepancy between the expected and the observed joint intensity distributions is minimised. The difference between distributions is...

This report contains a list of some of the more prominent properties and theorems concerning the Kullback-Leibler (KL) discrimination distance. A brief discussion is also provided indicating the type of problems in which the KL distance has been applied. References are provided for the reader’s convenience. 1 Definition For two continuous density functions f1(x), f2(x) the Kullback-Leibler (KL)...

In this paper we address the problem of multi-modal coregistration of medical 3D images. Several techniques for the rigid registration of multi-modal images have been developed; in one of those the Kullback-Leibler distance is used to align 2D-3D angiographic images [1]. In this paper we refine this technique and investigate its performance on the registration of pairs of 3D CT/US images. We te...

Rényi divergence is related to Rényi entropy much like Kullback-Leibler divergence is related to Shannon’s entropy, and comes up in many settings. It was introduced by Rényi as a measure of information that satisfies almost the same axioms as Kullback-Leibler divergence, and depends on a parameter that is called its order. In particular, the Rényi divergence of order 1 equals the Kullback-Leibl...