645,741 research outputs found

    High resolution in-vivo MR-STAT using a matrix-free and parallelized reconstruction algorithm

    Get PDF
    MR-STAT is a recently proposed framework that allows the reconstruction of multiple quantitative parameter maps from a single short scan by performing spatial localisation and parameter estimation on the time domain data simultaneously, without relying on the FFT. To do this at high-resolution, specialized algorithms are required to solve the underlying large-scale non-linear optimisation problem. We propose a matrix-free and parallelized inexact Gauss-Newton based reconstruction algorithm for this purpose. The proposed algorithm is implemented on a high performance computing cluster and is demonstrated to be able to generate high-resolution (1mm×1mm1mm \times 1mm in-plane resolution) quantitative parameter maps in simulation, phantom and in-vivo brain experiments. Reconstructed T1T_1 and T2T_2 values for the gel phantoms are in agreement with results from gold standard measurements and for the in-vivo experiments the quantitative values show good agreement with literature values. In all experiments short pulse sequences with robust Cartesian sampling are used for which conventional MR Fingerprinting reconstructions are shown to fail.Comment: Accepted by NMR in Biomedicine on 2019-12-0

    Laboratory on Matlab

    Get PDF
    Considers various basic features of Matla

    Assignment on Matlab

    Get PDF
    Considers sampling, quantisation, filters and lines of best fit

    Challenges of Feminism and Gender Equalization

    Get PDF
    The following article presents the views of feminist theorists and the issue of raising gender equality in society

    A computational approach for cam size optimization of disc cam-follower mechanisms with translating roller followers

    Get PDF
    The main objective of this work is to present a computational approach for design optimization of disc cam mechanisms with eccentric translating roller followers. For this purpose, the objective function defined here takes into account the three major parameters that influence the final cam size, namely the base circle radius of the cam, the radius of the roller and the offset of the follower. Furthermore, geometric constraints related to the maximum pressure angle and minimum radius of curvature are included to ensure good working conditions of the system. Finally, an application example is presented and used to discuss the main assumptions and procedure adopted throughout this work.Fundação para a Ciência e a Tecnologia (FCT

    MatLab vs. Python vs. R

    Get PDF

    INM12-13 LAB1 MATLAB BASICS

    Get PDF
    • …
    corecore