Synthetic Contrasts in Musculoskeletal MRI A Review

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Atomic force microscopy (AFM) has long been recognized as a potent tool for capturing high-resolution topographical data across a wide spectrum of samples. However, this superior spatial imaging capability has traditionally been counterbalanced by its rela ...

BACKGROUND AND PURPOSE: MS lesions exhibit varying degrees of axonal and myelin damage. A comprehensive description of lesion phenotypes could contribute to an improved radiologic evaluation of smoldering inflammation and remyelination processes. This stud ...

Moving from association to causal analysis of neuroimaging data is crucial to advance our understanding of brain function. The arrow-of-time (AoT), that is, the known asymmetric nature of the passage of time, is the bedrock of causal structures shaping phy ...

Rationale and objectives: To prospectively evaluate feasibility and robustness of an accelerated T2 mapping sequence (GRAPPATINI) in brain imaging and to assess its synthetic T2-weighted images (sT2w) in comparison with a standard T2-weighted sequence (T2 ...

Magnetic resonance imaging (MRI) has been a valuable tool in investigating the pathological cascade of Alzheimer's disease (AD) and its progression, which are still open questions. Although some MRI-derived hallmarks in terms of functional connectivity and ...

Magnetic resonance imaging (MRI) is a valuable tool for studying subcutaneous implants in rodents, providing non-invasive insight into biomaterial conformability and longitudinal characterization. However, considerable variability in existing image analysi ...

Brain signatures of functional activity have shown promising results in both decoding brain states, meaning distinguishing between different tasks, and fingerprinting, that is identifying individuals within a large group. Importantly, these brain signature ...

Quantitative magnetic resonance imaging (qMRI) can increase the specificity and sensitivity of conventional weighted MRI to underlying pathology by comparing meaningful physical or chemical parameters, measured in physical units, with normative values acqu ...

Magnetic Resonance Imaging (MRI) is an established technique to study in vivo neurological disorders such as Multiple Sclerosis (MS). To avoid errors on MRI data organization and automated processing, a standard called Brain Imaging Data Structure (BIDS) h ...

This paper describes the development of a novel medical x-ray imaging system adapted to the needs and constraints of low- and middle-income countries. The developed system is based on an indirect conversion chain: a scintillator plate produces visible ligh ...

Multiple sclerosis (MS) is the most common demyelinating disease of the central nervous system and affects almost 3 million people worldwide. There is currently no cure for MS, and its symptoms, starting with fatigue and weakness, often progress over time ...

Purpose To obtain whole-brain high-resolution T-2 maps in 2 minutes by combining simultaneous multislice excitation and low-power PINS (power independent of number of slices) refocusing pulses with undersampling and a model-based reconstruction. Methods A ...

The spinal cord is the main interface between the brain and the periphery. It notably plays a central role in motor control, as spinal motoneurons activate skeletal muscles involved in voluntary movements. Yet, the spinal mechanisms underlying human moveme ...

A growing body of empirical evidence supports the notion of diverse neurobiological processes underlying learning-induced plasticity changes in the human brain. There are still open questions about how brain plasticity depends on cognitive task complexity, ...

Quantitative phase imaging (QPI) is an emerging label-free technique that produces images containing morphological and dynamical information without contrast agents. Unfortunately, the phase is wrapped in most imaging system. Phase unwrapping is the comput ...

Artificial intelligence (AI) has gained major attention with a rapid increase in the number of published articles, mostly recently. This review provides a general understanding of how AI can or will be useful to the musculoskeletal radiologist. After a bri ...

Today, Magnetic Resonance Imaging (MRI) is a well-established medical imaging modality thanks to its excellent soft tissue contrast. Conventional MR image contrasts can be weighted towards one or more physical properties that discriminate different tissues ...

Background and objective: Compared to the conventional magnetization-prepared rapid gradient-echo imaging (MPRAGE) MRI sequence, the specialized magnetization prepared 2 rapid acquisition gradient echoes (MP2RAGE) shows a higher brain tissue and lesion con ...

Magnetic resonance imaging (MRI) has yielded great success as a medical imaging modality in the past decades, and its excellent soft tissue contrast is used in clinical routine to support diagnosis today. However, MRI is still facing challenges. For exampl ...

Purpose Reliable detection and fitting of macromolecules (MM) are crucial for accurate quantification of brain short-echo time (TE) 1H-MR spectra. An experimentally acquired single MM spectrum is commonly used. Higher spectral resolution at ultra-high fiel ...

Synthetic Contrasts in Musculoskeletal MRI A Review

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Ultra small biomorphic cantilevers for high-speed atomic force microscopy

Multiparametric Characterization and Spatial Distribution of Different MS Lesion Phenotypes

The arrow-of-time in neuroimaging time series identifies causal triggers of brain function

Clinical feasibility and validation of the accelerated T2 mapping sequence GRAPPATINI in brain imaging

Brain microstructural and functional MRI: developments and application to a rat model of Alzheimer's disease

Automated segmentation and labeling of subcutaneous mouse implants at 14.1T

Brain structure-function coupling provides signatures for task decoding and individual fingerprinting

Variability and reproducibility of multi-echo T2 relaxometry: Insights from multi-site, multi-session and multi-subject MRI acquisitions

BMAT: An open-source BIDS managing and analysis tool

X-ray imaging detector for radiological applications adapted to the context and requirements of low- and middle-income countries

Deep learning-based analysis of multiple sclerosis lesions with high and ultra-high field MRI

Fast model-based T-2 mapping using SAR-reduced simultaneous multislice excitation

Functional imaging of rostrocaudal spinal activity during upper limb motor tasks

Brain plasticity dynamics during tactile Braille learning in sighted subjects: Multi-contrast MRI approach

Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging

Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends

Quantitative Microstructural Imaging for Clinical Use

MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients

Development and Optimization of Methods for Accelerated Magnetic Resonance Imaging

In vivo macromolecule signals in rat brain 1 H‐MR spectra at 9.4T: Parametrization, spline baseline estimation, and T 2 relaxation times