A multiple-gradient-echo sequence is proposed for accurately mapping R(2)(*) in the presence of in-slice macroscopic susceptibility gradients. In-slice signal loss caused by background macroscopic susceptibility gradients is mitigated by combining three successive gradient-echo images whose slice refocus gradients are successively incremented. The optimum incrementation of slice-refocusing gradients was determined by numerical simulation. By repeating further cycles of three images in the same sequence, artifact-compensated data spanning a range of echo times (TEs) was acquired leading to single-scan, R(2) (*) maps that are quantitatively reflective of microscopic field inhomogeneities. The performance of the sequence was demonstrated at 3.0T, first with a doped aqueous phantom, and then on the head of a normal volunteer. That performance is compared quantitatively with previously published work.

Download full-text PDF

Source
http://dx.doi.org/10.1002/mrm.10291DOI Listing

Publication Analysis

Top Keywords

mapping r2*
8
macroscopic susceptibility
8
susceptibility gradients
8
multiple gradient
4
gradient echo
4
sequence
4
echo sequence
4
sequence optimized
4
optimized rapid
4
rapid single-scan
4

Similar Publications

Unlabelled: While a balanced diet can fulfill most nutritional needs, optimizing the composition of specific foods like broccoli can amplify their health benefits.

Background/objectives: Broccoli ( L. Italica group) is a widely consumed cruciferous vegetable valued for its gastrointestinal and immune health benefits.

View Article and Find Full Text PDF

Blood pressure measurement is important in monitoring hypertension. However, blood pressure does not provide much information about renal condition in treated hypertension. This study aimed to evaluate renal oxygenation in hypertensive patients using T2* mapping.

View Article and Find Full Text PDF

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of liver-related morbidity and mortality. Although the invasive liver biopsy remains the golden standard for MASLD diagnosis, Magnetic Resonance Imaging-derived Proton Density Fat Fraction (MRI-PDFF) is an accurate, non-invasive method for the assessment of treatment response. This study aimed at developing a Polygenic Risk Score (PRS) to improve MRI-PDFF prediction using UK Biobank data to assess an individual's genetic liability to MASLD.

View Article and Find Full Text PDF

Background: MRI offers quantification of proton density fat fraction (PDFF) and tissue characteristics with T1 mapping. The influence of age, sex, and the potential confounding effects of fat on T1 values in skeletal muscle in healthy adults are insufficiently known.

Purpose: To determine the accuracy and repeatability of a saturation-recovery chemical-shift encoded multiparametric approach (SR-CSE) for quantification of T1 and muscle fat content, and establish normative values (age, sex) from a healthy cohort.

View Article and Find Full Text PDF

Personalized prediction of stroke outcome using lesion imaging markers is still too imprecise to make a breakthrough in clinical practice. We performed a combined prediction and brain mapping study on topographic and connectomic lesion imaging data to evaluate (i) the relationship between lesion-deficit associations and their predictive value and (ii) the influence of time since stroke. In patients with first-ever ischaemic stroke, we first applied high-dimensional machine learning models on lesion topographies or structural disconnection data to model stroke severity (National Institutes of Health Stroke Scale 24 h/3 months) and functional outcome (modified Rankin Scale 3 months) in cross-validation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!