In this work, we present a novel fully automated elastic registration method for magnetic resonance (MR) images with mismatched intensities, which combines a novel mapping based on an intensity uncertainty quantification in a local region, with a fluid-like registration technique. The proposed methodology can be summarized in two global steps: first, a mapping over the target and source images ...

As image registration becomes more and more central to many biomedical imaging applications, the efficiency of the algorithms becomes a key issue. Image registration is classically performed by optimizing a similarity criterion over a given spatial transformation space. Even if this problem is considered as almost solved for linear registration, we show in this paper that some tools that have r...

Two deformable registration methods, the Demons and the Morphon algorithms, have been used for registration of CT datasets to evaluate their usability in radiotherapy planning for prostate cancer. These methods were chosen because they can perform deformable registration in a fully automated way. The experiments show that for intrapatient registration both of the methods give useful results, al...

Quantum discord was proposed as an information theoretic measure of the “quantumness” of correlations. I show that discord determines the difference between the efficiency of quantum and classical Maxwell’s demons in extracting work from collections of correlated quantum systems. Information has an energetic value: It can be converted into work. Maxwell’s demon was introduced into thermodynamic...

We present the fast Spherical Demons algorithm for registering two spherical images. By exploiting spherical vector spline interpolation theory, we show that a large class of regularizers for the modified demons objective function can be efficiently implemented on the sphere using convolution. Based on the one parameter subgroups of diffeomorphisms, the resulting registration is diffeomorphic a...

background: medical image interpolation is recently introduced as a helpful tool to obtain further information via initial available images taken by tomography systems. this information may be useful for better diagnosis of possible lesions or better tumor delineation at radiation treatment. to do this, deformable image registration algorithms are mainly utilized to perform image interpolation ...

Non-linear image registration is an important tool in many areas of image analysis. For instance, in morphometric studies of a population of brains, free-form deformations between images are analyzed to describe the structural anatomical variability. Such a simple deformation model is justified by the absence of an easy expressible prior about the shape changes. Applying the same algorithms use...

Non-linear registration is a key instrument for computational anatomy to study the morphology of organs and tissues. However, in order to be an effective instrument for the clinical practice, registration algorithms must be computationally efficient, accurate and most importantly robust to the multiple biases affecting medical images. In this work we propose a fast and robust registration frame...

*Professor of Medicine, T.N. Medical College (Retd.), Hon. Physician, Bhatia Hospital, Mumbai D i , the Hindu God in the ancient Indian Medicine is comparable to Aesculapius of Greek medicine. Shrimad Bhagvat purana states that when ancient demigods (Devas) were in serious peril, they appealed to Lord Vishnu for help. He told the demigods and demons (Asuras) to churn the ocean with the aid of t...