ArticleQuantitative imaging in medicine and surgery2020
Evaluation of multi-shell diffusion MRI acquisition strategy on quantitative analysis using multi-compartment models.
Article in Quantitative imaging in medicine and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06606925 (Determining Which Regions of the Brain Are Active During Flight Simulation at Separate Timepoints During Training), which is not on this map. Cited by 15 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Determining Which Regions of the Brain Are Active During Flight Simulation at Separate Timepoints During Training
Who cites it
15 citing papers in PubMed, 19 citations in OpenAlex.
- Implementation and validation of a clinically compatible four-shell diffusion MRI protocol for ischemic stroke research.MethodsX · 2026Article
- Tract-specific white matter microstructure associated with early cognitive development in infants.Neuroimage. Reports · 2026Article
- High-Definition Brain Network (HDBN) Delineation of CDKL5 Deficiency Disorder (CDD) in Genetically Engineered Mice.Biomolecules · 2026Article
- Automated Multi-Modal MRI Segmentation of Stroke Lesions and Corticospinal Tract Integrity for Functional Outcome Prediction.Tomography (Ann Arbor, Mich.) · 2026Article
- Prefrontal-Limbic Circuitry Is Associated With Reward Sensitivity in Nonhuman Primates.Biological psychiatry · 2024Article
- Deep Learning Segmentation of Infiltrative and Enhancing Cellular Tumor at Pre- and Posttreatment Multishell Diffusion MRI of Glioblastoma.Radiology. Artificial intelligence · 2024Article
- Emotional Regulation and Adolescent Concussion: Overview and Role of Neuroimaging.International journal of environmental research and public health · 2023Review
- Diffusion radiomics for subtyping and clustering in autism spectrum disorder: A preclinical study.Magnetic resonance imaging · 2023Article
- Magnetic resonance imaging of the monkey fetal brain in utero.Investigative magnetic resonance imaging · 2022Article
- Higher-order multi-shell diffusion measures complement tensor metrics and volume in gray matter when predicting age and cognition.NeuroImage · 2022Article
- Impact of the acquisition protocol on the sensitivity to demyelination and axonal loss of clinically feasible DWI techniques: a simulation study.Magma (New York, N.Y.) · 2021Article
- Quantitative assessment of cerebral metabolism and hemodynamics in small-for-gestational-age (SGA) newborns.Quantitative imaging in medicine and surgery · 2021Article
- Cortical degeneration detected by neurite orientation dispersion and density imaging in chronic lacunar infarcts.Quantitative imaging in medicine and surgery · 2021Article
- In-vivo diffusion MRI protocol optimization for the chimpanzee brain and examination of aging effects on the primate optic nerve at 3T.Magnetic resonance imaging · 2021Article
- Clinical characteristics and endovascular treatment in patients with intracranial giant serpentine aneurysms.Quantitative imaging in medicine and surgery · 2021Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMulti-compartment diffusion models such as Neurite Orientation Dispersion and Density Imaging (NODDI) have been increasingly used for diffusion MRI (dMRI) data processing in biomedical research. However, those models usually require multiple HARDI shells that may increase scanning duration substantially, and their application can be hindered in uncooperative patients (like infants) accordingly. Also, it is highly expected that the same dataset can be explored with multiple diffusion models for retrieving complementary information.
methodsMultiple gradient-encoding schemes which consisted of 4-6 shells, moderate b-values (bmax =1,500 or 2,000 s/mm
resultsThe maps of orientation dispersion index (ODI) and CSF were consistent across the 4-6 shell sampling schemes. However, the corresponding intra-cellular volume fraction (ICVF) maps showed reduced pixel counts [1,100±98 (80 directions)
conclusionsThe present study reports a fast multi-shell dMRI data acquisition and processing strategy which allows for obtaining complementary information about microstructural alteration and inflammation from a single dMRI data set with both NODDI and DBSI models. The proposed approach may be particularly useful for characterizing the neurodegenerative disorders in uncooperative patients like children or acute stroke patients in which brain injury is associated with inflammation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.