Results 111 to 120 of about 43,756 (288)

Human In Vivo Validation of Frequency‐Dependent QTI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The aim of this work is to investigate if q‐space trajectory imaging (QTI) waveforms can be designed to probe QTI metrics at a single centroid frequency under realistic experimental conditions for in vivo human brain imaging. Methods Realistic diffusion encoding waveforms based on double‐rotation gradient waveform and magic‐angle ...
Svenja Niesen   +3 more
wiley   +1 more source

Reference‐Superimposed Reconstruction (RS‐Recon) for Arterial Spin Labeling

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Conventional arterial spin labeling (ASL) reconstruction suffers from sign‐flipping errors and/or noise bias under strong background suppression (BS), limiting SNR optimization. We propose reference‐superimposed reconstruction (RS‐recon) to enable ideal BS and robust signal recovery.
Jia Guo
wiley   +1 more source

Calibration‐Free Estimation of Cerebrovascular Reactivity From Resting‐State BOLD fMRI Using Reconstructed Respiratory Fluctuations

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Cerebrovascular reactivity (CVR) provides an important index of vascular health and is conventionally quantified using a hypercapnic gas or breath‐hold challenge in conjunction with blood‐oxygen‐level‐dependent functional magnetic resonance imaging (BOLD‐fMRI).
Abdoljalil Addeh   +9 more
wiley   +1 more source

High Rate Data Broker for FSL Operations

open access: yes, 2019
In 2018 the European Space Agency overhauled the Columbus Fluid Science Laboratory (FSL) on board the International Space Station in order to operate the experiment containers Soft Matter Dynamics (SMD) and Reference mUltiscale Boiling Investigation ...
Brun, N.   +4 more
core  

p‐Brain: A Modular Open‐Source Framework for Automated Quantitative DCE‐MRI of Cerebral Perfusion, Microvasculature, and Blood–Brain Barrier Permeability

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT We present p‐Brain, a modular, open‐source framework for reproducible, automated quantitative DCE‐MRI at scale. Rather than a fixed pipeline, p‐Brain is built from interchangeable stages (ingestion, T1/M0$$ {T}_1/{M}_0 $$ fitting, vascular and tissue ROI extraction, signal‐to‐concentration conversion, kinetic modeling, and quality control ...
Edis D. Tireli   +5 more
wiley   +1 more source

incf-nidash/nidmresults-fsl: FSL NIDM-Results 1.2.1

open access: yes, 2018
A python library to export FSL's feat results to NIDM ...
Tristan Glatard
core   +1 more source

Relationship Between Mean Kärger Model Water Exchange Rate and Intercellular Water Transition Rate

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To derive a quantitative relationship between the mean Kärger model (KM) water exchange rate and the mean intercellular water transition rate applicable to brain and other complex biological tissues. Theory and Methods The mean KM water exchange rate applies to any KM, accommodates an arbitrary number of compartments, and can be ...
Jens H. Jensen   +3 more
wiley   +1 more source

Whole‐Brain Diffusion MRI at 7T With Universal Multiband GRAPE pTx Pulses

open access: yesMagnetic Resonance in Medicine, EarlyView.
Purpose To improve signal strength and homogeneity of whole‐brain diffusion‐weighted imaging (DWI) at 7T. Methods Universal multiband excitation and refocusing pulses were optimized with the gradient ascent pulse engineering (GRAPE) algorithm across a database of B1+$$ {B}_1^{+} $$ and B0$$ {B}_0 $$ maps obtained from 20 subjects.
Marten Laufenberg   +5 more
wiley   +1 more source

A few-shot learning framework for the diagnosis of osteopenia and osteoporosis using knee X-ray images

open access: yesJournal of International Medical Research
Objective We developed a few-shot learning (FSL) framework for the diagnosis of osteopenia and osteoporosis in knee X-ray images. Methods Computer vision models containing deep convolutional neural networks were fine-tuned to enable generalization from ...
Hua Xie   +7 more
doaj   +1 more source

Direct Growth of BODIPY‐Based Conjugated Porous Polymer Shell on Upconversion Nanoparticles for NIR‐Driven Photocatalysis

open access: yesSmall, EarlyView.
Monomer prefunctionalization of upconversion nanoparticles directs uniform growth of BODIPY‐based conjugated porous polymers shells, affording precise control over polymer loading and optimized NIR‐triggered photocatalytic activity. ABSTRACT The great applications of upconversion nanoparticles (UCNPs) can be further extended by their encapsulation ...
Teresa Naranjo   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy