Magnetorheological fluids have received widespread attention as smart materials due to their tunable properties. MRF consists of three key components including, soft magnetic particles, carrier liquids, and additives. This review details the characteristics, composition, and rheological principle of MRF, working principle of MRF devices, and their applications in other engineering arenas. The a...

For many years, object tracking in images has suffered from the problems of occlusions and illumination effects. In order to resolve occlusion problems, we have been proposing the Spatio-Temporal Markov Random Field model for segmentation of spatio-temporal images since 2000. This S-T MRF optimizes the segmentation boundaries of occluded objects and their motion vectors simultaneously, by refer...

PURPOSE: Demonstrate a novel fast method for reconstruction of multi-dimensional MR Fingerprinting (MRF) data using Deep Learning methods. METHODS: A neural network (NN) is defined using the TensorFlow framework and trained on simulated MRF data computed using the Bloch equations. The accuracy of the NN reconstruction of noisy data is compared to conventional MRF template matching as a function...

In this paper, we present IMaGe, a new, iterative two-stage probabilistic graphical model for detection and segmentation of Multiple Sclerosis (MS) lesions. Our model includes two levels of Markov Random Fields (MRFs). At the bottom level, a regular grid voxel-based MRF identifies potential lesion voxels, as well as other tissue classes, using local and neighbourhood intensities and class prior...

Owing to some of its specific advantages, magnetorheological fluid (MRF) has drawn significant attention in a broad range modern precision machining fields. With the diversification and increase demand, many novel structural configurations processing methods have been applied mechanical equipment. Although different applications using MRF proposed existing literature, classification, latest app...

Abstract As one of the most important mechanical parameters magnetorheological fluids (MRF), normal force has been studied by a large number researchers using various experimental equipment and methods. However, it is difficult to reveal effects particle microstructure characteristics on MRF methods, especially for such factor as size distribution. To advance this research area, numerical metho...