In order to improve the sensitivity of online magnetic flux leakage (MFL) testing for steel pipe, a sensing method based on the magnetic guiding effect is proposed and investigated in this paper. Compared to the conventional contact sensing method using a non-ferromagnetic support, the proposed method creatively utilizes a ferromagnetic one to guide more magnetic flux to leak out. Based on Hopk...

We purpose a hybrid approach for classification of brain tissues in magnetic resonance images (MRI) based on genetic algorithm (GA) and support vector machine (SVM). A wavelet based texture feature set is derived. The optimal texture features are extracted from normal and tumor regions by using spatial gray level dependence method (SGLDM). These features are given as input to the SVM classifier...

PURPOSE To measure the impact of corrupted images often found to occur in diffusion-weighted magnetic resonance imaging (DW-MRI). To propose a robust method for the correction of outliers, applicable to diffusion tensor imaging (DTI) and q-ball imaging (QBI). MATERIALS AND METHODS Monte Carlo simulations were carried out to measure the impact of outliers on DTI and QBI reconstruction in a sin...

This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multiscale multi-channel three dimensional (3D) segmentation algorithm providing a rich feature vocabulary together with a support vector machine (SVM) based classifier. The segmentation produces a full hierarchy of segments, express...

Nicola Whiffin, PhD, Roddy Walsh, MSc, Risha Govind, MSc, Matthew Edwards, MSc, Mian Ahmad, PhD, Xiaolei Zhang, MSc, Upasana Tayal, BMBCh, MRCP, Rachel Buchan, MSc, William Midwinter, BSc, Alicja E Wilk, BSc, Hanna Najgebauer, PhD, Catherine Francis, MA, MRCP, Sam Wilkinson, BSc, Thomas Monk, MSc, Laura Brett, MPhil, Declan P O’Regan, PhD, FRCR, Sanjay K Prasad, MD, FRCP, Deborah J Morris-Rosen...

fischer-tropsch catalysts with high activity and selectivity for olefins were produced using mordenite type sio2/al2o3= 12, 20, 28, 62 zeolite supported iron carbonyl compounds and were characterized by x-ray powder diffraction. the adsorptionof volatile fe(co)5 on the support surface was carried out under vacuum at room temperature. reduction les were monitored by vibrating sample magnetometer...

Classification performance of support vector machine (SVM) will be influenced by its model parameters. For this problem, a new method named magnetic bacteria optimization algorithm (MBOA) that optimizes the parameters of SVM is proposed. It is tested by the UCI standard data sets and compared with the other optimization algorithms, such as particle swarm optimization (PSO). Experimental results...

Modelling the mixing process of multicomponent liquids is still an open problem. In this work the possibility to use nuclear magnetic resonance (NMR) to measure concentration profiles during interdiffusion of a binary system is discussed. NMR is a non-invasive technique that can be used to measure diffusivities of liquids over the complete viscosity range even for optically non-transparent samp...

Prostate cancer is the most common cancer in men over 50 years of age and it has been shown that nuclear magnetic resonance spectra are sensitive enough to distinguish normal and cancer. In this paper, we propose a classification technique of spectra from magnetic resonance spectroscopy. We studied automatic classification with and without quantification of metabolite signals. The dataset is co...

We have performed magnetohydrodynamic (MHD) simulations of the collapse and fragmentation of molecular cloud cores using a new algorithm for MHD within the smoothed particle hydrodynamics (SPH) method, that enforces the zero magnetic divergence constraint. We find that the support provided by magnetic fields over thermal pressure alone has several important effects on fragmentation and the form...