Marco Battiston
A5086533491- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Multiple Sclerosis Research Studies
- Lanthanide and Transition Metal Complexes
- Functional Brain Connectivity Studies
- Bone and Joint Diseases
- Peripheral Nerve Disorders
- Medical Imaging and Analysis
- Spinal Dysraphism and Malformations
- Peripheral Neuropathies and Disorders
- Long-Term Effects of COVID-19
- RNA Research and Splicing
- Thermal Regulation in Medicine
- Olfactory and Sensory Function Studies
- Ultrasound and Hyperthermia Applications
- Cervical and Thoracic Myelopathy
- Atomic and Subatomic Physics Research
- Optical Imaging and Spectroscopy Techniques
- Advanced Electron Microscopy Techniques and Applications
- Motor Control and Adaptation
- Electron Spin Resonance Studies
- Skin Protection and Aging
- Parkinson's Disease Mechanisms and Treatments
- Ultrasonics and Acoustic Wave Propagation
Queen Mary University of London
2017-2025
University College London
2016-2025
National Hospital for Neurology and Neurosurgery
2016-2025
Resonance Research (United States)
2021
Abstract In a companion paper by Cohen-Adad et al . we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This was used to acquire single subject dataset across 19 centers multi-subject 42 (for total of 260 participants), spanning three main manufacturers: GE, Philips Siemens. Both datasets are publicly available via git-annex. Data were analysed using Spinal Cord Toolbox produce...
Multi-parametric quantitative MRI (qMRI) of the spinal cord is a promising non-invasive tool to probe early microstructural damage in neurological disorders. It usually performed vivo by combining acquisitions with multiple signal readouts, which exhibit different thermal noise levels, geometrical distortions and susceptibility physiological noise. This ultimately hinders joint multi-contrast modelling makes geometric correspondence parametric maps challenging. We propose an approach...
Purpose To evaluate potential modeling paradigms and the impact of relaxation time effects on human blood‐brain barrier (BBB) water exchange measurements using FEXI (BBB‐FEXI), to quantify accuracy, precision, repeatability BBB‐FEXI rate estimates at 3. Methods Three were evaluated: (i) apparent (AXR) model; (ii) a two‐compartment model () explicitly representing intra‐ extravascular signal components, (iii) additionally accounting for finite compartmental times (). Each had three free...
Abstract Clinical research emphasizes the implementation of rigorous and reproducible study designs that rely on between-group matching or controlling for sources biological variation such as subject’s sex age. However, corrections body size (i.e. height weight) are mostly lacking in clinical neuroimaging designs. This investigates importance parameters their relationship with spinal cord (SC) brain magnetic resonance imaging (MRI) metrics. Data were derived from a cosmopolitan population...
Purpose To develop a fast and robust method for measuring T 1 in the whole cervical spinal cord vivo, to assess its reproducibility. Methods A spatially nonselective adiabatic inversion pulse is combined with zonally oblique‐magnified multislice echo‐planar imaging produce reduced field‐of‐view inversion‐recovery protocol. Multi‐ time data are obtained by cycling slice order throughout sequence repetitions. Measurement of performed using 12 times total protocol duration 7 min....
Abstract Clinical research emphasizes the implementation of rigorous and reproducible study designs that rely on between-group matching or controlling for sources biological variation such as subject’s sex age. However, corrections body size (i.e. height weight) are mostly lacking in clinical neuroimaging designs. This investigates importance parameters their relationship with spinal cord (SC) brain magnetic resonance imaging (MRI) metrics. Data were derived from a cosmopolitan population...
Abstract Quantitative Magnetic Resonance Imaging (qMRI) signal model fitting is traditionally performed via non-linear least square (NLLS) estimation. NLLS slow and its performance can be affected by the presence of different local minima in objective function. Recently, machine learning techniques, including deep neural networks (DNNs), have been proposed as robust alternatives to NLLS. Here we present a implementation qMRI fitting, which uses DNNs perform inversion forward model. We...
Purpose To develop a framework to fully characterize quantitative magnetization transfer indices in the human cervical cord vivo within clinically feasible time. Methods A dedicated spinal imaging protocol for was developed using reduced field‐of‐view approach with echo planar (EPI) readout. Sequence parameters were optimized based Cramer‐Rao‐lower bound. Quantitative model (i.e., bound pool fraction, free and transverse relaxation times [ , ], forward exchange rate k FB ]) estimated...
Diffusion tensor imaging (DTI) has recently started to be adopted into clinical investigations of spinal cord (SC) diseases. However, DTI applications the lower SC are limited due a number technical challenges, related mainly even smaller size structure at this level, its position relative receiver coil elements and effects motion during data acquisition. Developing methods overcome these problems would offer new means gain further insights microstructural changes neurological conditions...
Purpose Spinal cord gray‐matter imaging is valuable for a number of applications, but remains challenging. The purpose this work was to compare various MRI protocols at 1.5 T, 3 and 7 T visualizing the gray matter. Methods In vivo data cervical spinal were collected from nine different centers. Data processing consisted automatically segmenting its matter co‐registering back‐to‐back scans. We computed SNR using two methods (SNR_single single scan SNR_diff difference between scans) white/gray...
Purpose To enable clinical applications of quantitative magnetization transfer (qMT) imaging by developing a fast method to map one its fundamental model parameters, the bound pool fraction ( BPF ), in human brain. Theory and Methods The theory steady‐state MT fast‐exchange approximation is used provide measurements , transverse relaxation time ). A sequence that allows sampling signal during saturation perform mapping with 10‐min‐long fully echo planar imaging‐based MRI protocol, including...
Purpose To compare different multi‐echo combination methods for MRI QSM. Given the current lack of consensus, we aimed to elucidate how optimally combine gradient‐recalled echo signal phase information, either before or after applying Laplacian‐base (LBMs) unwrapping background field removal. Methods Multi‐echo data were simulated in a numerical head phantom, and images acquired at 3 Tesla 10 healthy volunteers. enable image‐based estimation noise, 5 volunteers scanned twice same session...
Abstract Background Optic neuropathy is a near ubiquitous feature of Friedreich's ataxia (FRDA). Previous studies have examined varying aspects the anterior and posterior visual pathways but none so far comprehensively evaluated heterogeneity degeneration across different areas retina, changes to macula layers combined these with volumetric MRI cortex frataxin level. Methods We investigated 62 genetically confirmed FRDA patients using an integrated approach as part observational cohort...
Background: We assessed the ability of a brain-and-cord-matched quantitative magnetic resonance imaging (qMRI) protocol to differentiate patients with progressive multiple sclerosis (PMS) from controls, in terms normal-appearing (NA) tissue abnormalities, and explain disability. Methods: A total 27 16 controls were on Expanded Disability Status Scale (EDSS), 25-foot timed walk (TWT), 9-hole peg (9HPT) symbol digit modalities (SDMT) tests. All underwent 3T brain (C2-C3) cord structural qMRI...
Background: Multiple sclerosis (MS) has traditionally been regarded as a disease confined to the central nervous system (CNS). However, neuropathological, electrophysiological, and imaging studies have demonstrated that peripheral (PNS) is also involved, with demyelination and, lesser extent, axonal degeneration representing main pathophysiological mechanisms. Aim: The purpose of this study was assess PNS damage at lumbar plexus sciatic nerve anatomical locations in people...
Purpose To develop a robust reconstruction pipeline for EPI data that enables 2D Nyquist phase error correction using sensitivity encoding without incurring major noise artifacts in low SNR data. Methods SENSE with (PEC‐SENSE) was combined channel‐wise removal Marcenko–Pastur principal component analysis (MPPCA) to simultaneously eliminate ghost and mitigate the amplification associated parallel imaging. The proposed (coined SPECTRE) validated phantom DW‐EPI accuracy precision of diffusion...
Abstract Magnetic resonance neurography (MRN) has been used successfully over the years to investigate peripheral nervous system (PNS) because it allows early detection and precise localisation of neural tissue damage. However, studies demonstrating feasibility combining MRN with multi-parametric quantitative magnetic imaging (qMRI) methods, which provide more specific information related nerve composition microstructural organisation, can be invaluable. The translation emerging qMRI methods...
Abstract Purpose We introduce “Select and retrieve via direct upsampling” network (SARDU-Net), a data-driven framework for model-free quantitative MRI (qMRI) protocol design, demonstrate it on in vivo brain prostate diffusion-relaxation imaging (DRI). Methods SARDU-Net selects subsets of informative measurements within lengthy pilot scans, without the requirement to identify tissue parameters which optimise for. The algorithm consists selector , identifying measurement subsets, predictor...
Quantitative susceptibility mapping (QSM) from multi-echo acquisitions provides more accurate results than single echo, but the optimal choice of echo train length and time (TE) range requires investigation. In this work, we showed that QSM values depend on TE sampled, so data computed over different ranges should not be mixed. Dropping later echoes might help resolve echo-to-echo phase inconsistency artifacts, at expense accuracy. Finally, in multi-centre studies using acquired with...
Motivation: Some people exposed to SARS-CoV-2 experience persistent symptoms months after recovering from acute infection. These symptoms, grouped under the umbrella of “long-COVID”, include neurological and autonomic dysfunctions for which there is not yet a clear explanation. Goal(s): To identify biophysically meaningful features characterising long-COVID pathophysiology in brain. Approach: A novel multimodal MRI protocol was developed measure iron accumulation, myelin...
Motivation: χ-separation method relies on assuming a certain relaxometric constant (Dr) calculated as the mean of group healthy subjects. Recently, we demonstrated that it is subject-specific. Goal(s): The goal this study was to evaluate correlation between Dr and microstructural metrics obtained from diffusion tensor kurtosis imaging (DTI DKI). Approach: We regressed against DTI DKI in cohort controls. Results: Results showed positive with fractional anisotropy axial diffusivity,...