Methods Sixteen healthy subjects and 3 symptomatic PAD patients (ABI 0.4-0.9) underwent contrast-enhanced perfusion MRI of the calf before and after plantar-flexion exercise using an MR-compatible pedal at 50 rpm for up to 20 minutes or until limiting symptoms. Contrast-enhanced first-pass images were obtained on a 3T Siemens Trio scanner by infusion of 0.1mM/kg of gadolinium-DTPA followed by a...

One of the main challenges in the field of embodied artificial intelligence is the open-ended autonomous learning of complex behaviours. Our approach is to use task-independent, information-driven intrinsic motivation(s) to support task-dependent learning. The work presented here is a preliminary step in which we investigate the predictive information (the mutual information of the past and fut...

Introduction In single-shot echo planar imaging (sshEPI) all of the data is acquired following a single RF excitation. Unfortunately, in sshEPI image blurring may occur, due to reduced signal at the edges of k-space; significant geometric distortions can also appear in the final image, because of tissue susceptibility mismatch and off-resonance effects. In functional MRI (fMRI), sshEPI is the p...

The automotive industry is facing an unprecedented technological transformation towards fully autonomous vehicles. Optimists predict that, by 2030, cars will be sufficiently reliable, affordable, and common to displace most current human driving tasks. To cope with these trends, vehicles require reliable perception systems hear see all the surroundings, being light detection ranging (LiDAR) sen...

The main aim of this paper is to perform the analysis of Singular Value Decomposition (SVD) as a Dimensionality Reduction technique and Sparse Representation Classifier (SRC) as a Post Classifier for the Classification of Epilepsy Risk levels from Electroencephalography signals. The data acquisition of the EEG signals is performed initially. Then SVD is applied here as a dimensionality reductio...

Project AURORA aims at the development of an unmanned airship capable of autonomous flight over user-defined locations for aerial inspection and imagery acquisition. In this article the authors report a successful autonomous flight achieved through a set of pre-defined points, one of the first of its kind in the literature. The guidance control strategy is based on a path tracking error generat...

It is commonly accepted that TrueFISP (balanced FFE, FIESTA) belongs to the class of gradient-echo (GRE) sequences. GRE sequences are sensitive to dephasing effects of the transverse magnetization between the excitation pulse and echo acquisition, and phase coherence is only established directly after and before excitation pulses. However, an analysis of the phase evolution of transverse magnet...

This paper reports a PID control application for real-time feedback control of electron density, ne, in a low pressure, capacitively coupled plasma chamber. Experimental results are presented which demonstrate that a PI controller enables effective control of electron density when radio frequency power is used as an actuator. A hairpin resonator probe is used to measure the electron density, wh...

INTRODUCTION For MR applications such as contrast-enhanced MR angiography (CE-MRA), it is desirable to simultaneously achieve high spatial and temporal resolutions; however fully-sampled Cartesian acquisition of large matrices is time consuming. View sharing combined with parallel imaging (PI) improves temporal resolution [1], as does incoherent under-sampling with compressed sensing (CS) [2] o...