A5060926426- Pulsars and Gravitational Waves Research
- Geophysics and Gravity Measurements
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Seismic Waves and Analysis
- High-pressure geophysics and materials
- Dementia and Cognitive Impairment Research
- Geophysics and Sensor Technology
- Cosmology and Gravitation Theories
- Alzheimer's disease research and treatments
- Medical Imaging Techniques and Applications
- Magnetic confinement fusion research
- Medical Image Segmentation Techniques
- Advanced Neuroimaging Techniques and Applications
- Neurological Disease Mechanisms and Treatments
- Statistical and numerical algorithms
- Seismic Imaging and Inversion Techniques
- Atomic and Subatomic Physics Research
- Radio Astronomy Observations and Technology
- Astrophysics and Cosmic Phenomena
- Brain Tumor Detection and Classification
- Computational Physics and Python Applications
- Black Holes and Theoretical Physics
- Advanced MRI Techniques and Applications
- Functional Brain Connectivity Studies
Istituto Nazionale di Fisica Nucleare, Sezione di Genova
2015-2024
Istituto Nazionale di Fisica Nucleare
2012-2023
Université Paris Cité
2023
Laboratoire AstroParticule et Cosmologie
2023
Centre National de la Recherche Scientifique
2023
University of Genoa
2010-2015
University of Salento
2012
University of Bari Aldo Moro
2012
University of Turin
2012
We adapt a method, originally developed for searches quasimonochromatic, quasi-infinite duration gravitational-wave signals, to directly detect new light gauge bosons with laser interferometers, which could be candidates dark matter. To search these particles, we optimally choose the analysis coherence time as function of boson mass, such that all signal power will confined one frequency bin. focus on photon, couple baryon or baryon-lepton number, and explain its interactions interferometers...
Abstract Terrestrial gravity perturbations caused by seismic fields produce the so-called Newtonian noise in gravitational-wave detectors, which is predicted to limit their sensitivity upcoming observing runs. In past, this was seen as an infrastructural limitation, i.e., something that cannot be overcome without major investments improve a detector’s infrastructure. However, it possible have at least indirect estimate of using data from large number seismometers deployed around suspended...
The assessment of in vivo18F images targeting amyloid deposition is currently carried on by visual rating with an optional quantification based standardized uptake value ratio (SUVr) measurements. We target the difficulties image reading and possible shortcomings SUVr methods validating a new semi-quantitative approach named ELBA. ELBA involves minimal preprocessing does not rely small, specific regions interest (ROIs). It evaluates whole brain delivers geometrical/intensity score to be used...
Abstract Background In the framework of clinical validation research tools, this investigation presents a study an automatic medial temporal lobe atrophy measure that is applied to naturalistic population sampled from memory clinic patients across Europe. Methods The procedure was developed on 1.5‐T magnetic resonance images Alzheimer's Disease Neuroimaging Initiative database, and it validated independent data set coming DESCRIPA study. All underwent processing assess tissue targeted at...
ABSTRACT OBJECTIVES We detail a procedure for generating set of templates the hippocampal region in magnetic resonance (MR) images, representative clinical conditions population under investigation. METHODS The first step is robust standardization intensity scale brain MR belonging to patients with different degrees neuropathology (Alzheimer's disease). So similar tissues have intensities, even across images coming from sources. After automatic extraction large dataset we address template...
Background: This study aims to evaluate the use of a computer-aided, semi-quantification approach [18F]F-DOPA positron emission tomography (PET) in pediatric-type diffuse gliomas (PDGs) calculate tumor-to-background ratio. Methods: A total 18 pediatric patients with PDGs underwent magnetic resonance imaging and PET, which were analyzed using both manual automated procedures. The former provided tumor-to-normal-tissue ratio (TN) tumor-to-striatal-tissue (TS), while latter analogous scores...
A system was recently implemented in the Virgo detector to cancel noise its data produced by seismic waves directly coupling with suspended test masses through gravitational interaction. The from seismometers are being filtered produce a coherent estimate of associated also known as Newtonian noise. first implementation uses time-invariant (static) Wiener filter, which is optimal filter for Newtonian-noise cancellation assuming that stationary. However, time variations form transients and...
A challenging point in neuroimaging is the diagnosis of Alzheimer's disease (AD) during its asymptomatic phase. Among all biomarkers proposed literature, a measure hippocampal atrophy via Magnetic Resonance Imaging (MRI) seems to be one most reliable. Refined image processing techniques were already automatically extract boxes from images acquired with standard full brain acquisition protocol suggested by Disease Neuroimaging Initiative (ADNI). In order enhance this approach, here we propose...
In this paper we present the development of a software for extraction hippocampus and surrounding medial-temporal-lobe (MTL) regions from T1-weighted magnetic resonance (MR) Positron Emission Tomography (PET) images with no interactive input user. With introduce novel statistical index computed on intensities in automatically extracted MTL regions. This is measure gray-matter (GM) atrophy and allows to: distinguish between (a) patients Alzheimer’s disease (AD), amnestic mild cognitive...
Abstract Seismic Newtonian noise (NN) is predicted to limit the sensitivity of Einstein Telescope (ET). It can be reduced with coherent cancellation techniques using data from seismometers. To achieve best results, it important place seismic sensors in optimal positions. A preliminary study on this topic was conducted for ET: focused optimization array NN at an isolated test mass (TM). In paper, we expand include nested shape ET, i.e. four TMs low-frequency interferometers each vertex...
The hippocampus segmentation in Magnetic Resonance (MRI) scans is a relevant issue for the diagnosis of many pathologies.
We present the development of a web-based interface (proAD) for automatic analysis structural T1-weighted magnetic resonance images (MRI). This tool is meant to be high level sophisticated environment aimed at early diagnosis Alzheimer's disease patients. The procedure relies on clinical and follow up data. It extracts several portions temporal lobe, mainly around hippocampal area, processes them with no interactive input from user. output MRI classification index which able distinguish...
Seismic Newtonian noise is predicted to limit the sensitivity of Einstein Telescope. It can be reduced with coherent cancellation techniques using data from seismometers. To achieve best results, it important place seismic sensors in optimal positions. A preliminary study on this topic was conducted for Telescope (ET): focused optimization array at an isolated test mass. In paper, we expand include nested shape ET, i.e., four masses low-frequency interferometers each vertex detector. Results...
In this work we present a method for the combined analysis of MR and PET images early assessment Alzheimer's disease. This is fully automatic can get local structural functional information from brain scans. By combining with those provided by MRI modality, it possible to improve ability discriminate between healthy diseased patients.
Multiple biomarkers have proved sensitive to AD and MCI, a potential prodromal stage of AD. These include patterns regional cerebral atrophy hypometabolism detected by MR imaging FDG-PET1 quantification specific proteins in the CSF. There is active research aimed at identifying automated methodologies able extract accurate classification indexes. Such indexes should be fit for patients as early possible. The noticeable growth number candidate poses question on which one can add more value...
Abstract Terrestrial gravity perturbations caused by seismic fields produce the so-called Newtonian noise in gravitational-wave detectors, which is predicted to limit their sensitivity upcoming observing runs. In past, this was seen as an infrastructural limitation, i.e., something that cannot be overcome without major investments improve a detector's infrastructure. However, it possible have at least indirect estimate of using data from large number seismometers deployed around suspended...
Research in Alzheimer's disease (AD) has seen a tremendous growth of candidate biomarkers the last decade.The role such established or putative is to allow an accurate diagnosis AD, infer about its prognosis, monitor progression and evaluate changes induced by disease-modifying drugs.An ideal biomarker should detect specific pathophysiological feature not present healthy condition, other primary dementias, confounding conditions.Besides being reliable, be detectable means procedures which...