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In this paper, a modified hybrid Particle Swarm Optimization (MHPSO) algorithm that combines some principles of Particle Swarm Optimization (PSO) and Crossover operation of the Genetic Algorithm (GA) is presented. Our contribution has a twofold aim: first, is to propose a new hybrid PSO algorithm. Second is to prove the effectiveness of the proposed(More)
The aim of this work is to develop a seven degree of freedom (DOF) remotely controlled manipulator to perform minimally invasive interventions with real-time magnetic resonance imaging (MRI) guidance inside clinical cylindrical scanners. Control of the device is based on MR images collected pre-operatively and in real-time during the procedure. A user(More)
The addition of a pair of magnetic field gradient pulses had initially provided the measurement of spin motion with nuclear magnetic resonance (NMR) techniques. In the adaptation of DW-NMR techniques to magnetic resonance imaging (MRI), the taxonomy of mathematical models is divided in two categories: model matching and spectral methods. In this review, the(More)
The equations of the Complete Fourier Direct (CFD) MR model are explicitly derived for diffusion weighted NMR experiments. The CFD-MR theory is validated by comparing a biological phantom constructed from nerve bundles and agar gel with its numerical implementation. The displacement integral distribution function estimated from the experimental data is in(More)
Robotic manipulators have emerged and are continuously evolving as a valuable tool in medical applications. This work introduces a new biomedical application for robotics: multimodality imaging by facilitating scanning of spatially localized bio-sensing and co-registration. Established or currently emerging molecular and near cellular modalities, such as(More)
The Complete Fourier Direct (CFD) MRI method introduced in earlier work for modeling the diffusion weighted MRI signal is compared with the existing methods. The preservation of Hermitian symmetry in the diffusion weighted MRI signal without affecting its energy is the key point that differentiates CFD-MRI from the existing methods. By keeping the correct(More)
A new, sample independent optimization criterion for minimizing the effect of the imaging gradients, including the directional awareness they create, is defined for diffusion tensor imaging (DTI) experiments. The DTI linear algebraic framework is expanded to a normed space to design optimal diffusion gradient schemes (DGS) in an integral fashion without(More)
—A clustering approach is presented to calculate the limits of parametric stability for a stable equilibrium of the power systems modeled by differential algebraic equations (DAEs) , the so-called " feasibility boundary. " The underlying algorithm for calculation is based on the sensitivities of the eigenvalues of the DA system. The procedure is illustrated(More)
For obtaining a complete model the diffusion tensor imaging (DTI) method is derived in a new linear algebraic framework in order to include the effect of all of the magnetic field gradients on the MRI signal. In the framework, the coefficient matrix of the estimation equations consists of the sum of three matrices corresponding to diffusion gradients,(More)