A treecode algorithm is presented for the fast evaluation of multiquadric radial basis function (RBF) approximations. The method is a dual approach to one presented by Krasny and Wang, which applies far-field expansions to clusters of RBF centers (source points). The new approach clusters evaluation points instead and is therefore easily able to cope with basis functions that have different mul...

Introduction Although the technique of shimming is steadily progressing [1], distorted signal-decay (line-shape) can still occur. Lack of information about the decay function complicates MRS metabolite quantitation. In the absence of line overlap, complications can be avoided by integrating the individual lines, this requiring no knowledge of the decay function. In the presence of overlap, avai...

Many problems in medicine are inherently dynamic processes which include the aspect of change over time, such as childhood development, aging, and disease progression. From medical images, numerous geometric structures can be extracted with various representations, such as landmarks, point clouds, curves, and surfaces. Different sources of geometry may characterize different aspects of the anat...

Through a geometncal approach of the blossoming pnnciple, we achieve a dimension élévation process for extended Chebyshev spaces Applied to a nested séquence ofsuch spaces included in a polynomial one, this allows to compute the Bézier points from the initial Chebyshev-Bézier points This method leads to interesting shape effects © Elsevier, Paris

In the existing work, it is observed that the algorithms are language dependent i.e. characters and numbers should be in local language and if the language is changed, then the character identification algorithm will have to be changed each time the language changes. This kind of problem has been targeted in the proposed work by using the statistical features of the text and can be fine-tuned e...

Perfusion data characterize the regional blood flow in human tissue. For each voxel, a time-intensity curve (TIC) represents the enhancement of a contrast agent (CA). Parameters describing the TIC shape, e.g. the area below the curve (1), maximum (2), and slope (3), characterize the perfusion and have to be derived and integrated for diagnosis. We present the integrated visualization of perfusi...