Search results for "Brain"

Simulazioni numeriche e test di applicabilità clinica della Diffusion Kurtosis Imaging su tomografi RM da 1.5 Tesla

2014

Bio-electromagnetic Numerical Modeling for Health Diagnostics

Segmentation of MR brain images with bias artifact

2009

Brain MR Images corrupted by RF- Inhomogeneity (bias artifact) exhibit brightness variations across the image. As a consequence, a standard Fuzzy C-Means (fern) segmentation algorithm may fail. In this work we show a new general-purpose bias removing algorithm, which can be used as a pre-processing step for a fern segmentation. We also compare our experimental results with the ones achieved by using E2 D - H U M filter, showing an improvement in brain segmentation and bias removal.

Editorial

2021

This Special Issue of Cognitive System Research on Biologically Inspired Cognitive Architectures: Papers from the Tenth Annual International Conference on Biologically Inspired Cognitive Architectures (BICA 2019) have solicited and collected research papers in all domains of science and technology that directly or indirectly may help us to make an advance toward the BICA Challenge, which is to implement the top essential functionality of the human mind in a machine. Overall, the volume presents a pleasant overview with contributions from many countries depicting all major topics in BICA Challenge research. Personally, I am very pleased to have served as guest editor, and I am convinced that…

PARLARE E INTERAGIRE CON UN ROBOT UMANOIDE. TRA MENTE NATURALE E MENTE DIGITALE

2020

L’interazione sociale tra uomini e robot umanoidi è uno dei temi sui quali si focalizza attualmente la ricerca tenendo presente che l’interazione risulta efficace quando prevede anche la decodifica dei segnali non verbali e gestuali normalmente a corredo dei segnali verbali di comunicazione. Di seguito verranno illustrate quali capacità deve esibire un robot umanoide per percepire, dialogare e interagire socialmente con esseri umani, utilizzando sia segnali non verbali sia i bio-segnali cerebrali dell’uomo rilevati attraverso un caschetto BCI. I paradigmi di cooperazione umano-centrici per definire i ruoli sociali che un robot umanoide potrà avere domani nella società degli esseri umani son…

A BCI Teleoperated Museum Robotic Guide

2009

Brain Computer Interface is a system that offers also a support to the patients with neuromuscular diseases as Amyotrophic Lateral Sclerosis. In this paper are presented some works with the aim to integrate brain computer interfaces and mobile robots. The two aim of this project are: (i) to test an improved BCI experience through the help of a physical robot, so that brain signals are stronger stimulate. (ii) to use a remote robot controlled by a highly paralyzed patient via a BCI through a friendly Graphic User. Some preliminary experiments are presented in this paper about one of the possible application: a robotic museum guide (PeopleBot and Pioneer3 robot), that can transmit remote visu…

Noise Filtering Using Edge-Driven Adaptive Anisotropic Diffusion

2008

This paper presents a method aimed to noise removal in MRI (Magnetic Resonance Imaging). We propose an improvement of Perona and Malik's anisotropic diffusion filter. In our schema, the diffusion equation of the filter has been modified to take into account the edges direction, This allows the filter to blur uniform areas, while it better preserves the edges. Both quantitative and qualitative evaluation is presented and the results are compared with other methods.

Morphological exponential entropy driven-HUM.

2006

This paper presents an improvement to the Ex- ponential Entropy Driven - Homomorphic Unsharp Masking (E 2 D − HUM ) algorithm devoted to illumination artifact sup- pression on Magnetic Resonance Images. E 2 D−HUM requires a segmentation step to remove dark regions in the foreground whose intensity is comparable with background, because strong edges produce streak artifacts on the tissues. This new version of the algorithm keeps the same good properties of E 2 D − HUM without a segmentation phase, whose parameters should be chosen in relation to the image. I. INTRODUCTION Most of the studies on illumination correction found in literature are oriented to brain (18) magnetic resonance images (…

A Programmable Networked Processing Node for 3D Brain Vessels Reconstruction

2011

Real-time 3D imaging represents a developing trend in medical imaging. However, most of the 3D medical imaging algorithms are computationally intensive. In this paper, a programmable networked node for 3D brain vessels reconstruction is proposed. Starting from 2D PC-MRA (Phase-Contrast Magnetic Resonance Angiography) sequences, the node is able to generate the 3D brain vasculature using the MIP (Maximum Intensity Projection) algorithm. The node has been prototyped on the Celoxica RC203E board, equipped with a Virtex II FPGA, to get the advantages of an hardware implementation, reaching a better throughput with respect to analogous software implementations. Its generality and programmable ca…

Novel Human-to-Human Interactions from the Evolution of HCI

2011

The interaction ways made available by the evolution of the human-computer interfaces, led to novel Human-to-Human Interaction (HHI) modes, enabling people to cooperate for almost any task any time and any where. HHI nowadays is largely indirect and mediated by a wide variety of technologies and devices. This new and exciting field of design originates from the convergence of a few well-established research fields within the HCI area, such as traditional Graphical User Interfaces (GUI), Tangible User Interfaces (TUI), Touchless Gesture User Interface (TGUI), Voice User Interfaces (VUI), and Brain Computer Interfaces (BCI). We analyze and describe the evolution of the HCI in those fields, an…