A hybrid setup for rodent hyperpolarized metabolic imaging using a clinical magnetic resonance scanner

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The thalamus is a collection of gray matter nuclei that play a crucial role in sensorimotor processing and modulation of cortical activity. Characterizing thalamic nuclei non-invasively with structural MRI is particularly relevant for patient populations w ...

Localized electronic spins in solid-state environments form versatile and robust platforms for quantum sensing, metrology and quantum information processing. With optically detected magnetic resonance (ODMR), it is possible to prepare and readout highly co ...

In magnetic resonance imaging, the application of a strong diffusion weighting suppresses the signal contributions from the less diffusion-restricted constituents of the brain's white matter, thus enabling the estimation of the transverse relaxation time T ...

Nuclear magnetic resonance (NMR) chemical shifts are a direct probe of local atomic environments and can be used to determine the structure of solid materials. However, the substantial computational cost required to predict accurate chemical shifts is a ke ...

Purpose: Delineation of subtle lesions in magnetic resonance imaging (MRI)-negative patients is of great importance in preoperative epilepsy evaluation. The aim of our study was to explore the diagnostic value of the novel fluid and white matter suppressio ...

In spite of extensive work, inconsistent findings and lack of specificity in most neuroimaging techniques used to examine age- and gender-related patterns in brain tissue microstructure indicate the need for additional research. Here, we performed the larg ...

Perfusion CT is widely used in acute ischemic stroke to determine eligibility for acute treatment, by defining an ischemic core and penumbra. In this work, we propose a novel way of building on prior information for the automatic prediction and segmentatio ...

A hybrid setup for rodent hyperpolarized metabolic imaging using a clinical magnetic resonance scanner

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Advancing Thalamic Nuclei Segmentation: The Impact of Compressed Sensing on MRI Processing

Optically detected magnetic resonance with an open source platform

Axonal T2 estimation using the spherical variance of the strongly diffusion-weighted MRI signal

A Machine Learning Model of Chemical Shifts for Chemically and Structurally Diverse Molecular Solids

Fluid and White Matter Suppression Imaging and Voxel-Based Morphometric Analysis in Conventional Magnetic Resonance Imaging-Negative Epilepsy

Age- and gender-related differences in brain tissue microstructure revealed by multi-component T2 relaxometry

Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions