ArticleInsights into imaging2020
Diffusion processes modeling in magnetic resonance imaging.
Article in Insights into imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmap.Physics in medicine and biology · 2026Review
- MRI investigation of orientation-dependent changes in microstructure and function in a mouse model of mild traumatic brain injury.Acta neuropathologica communications · 2025Article
- Prostate magnetic resonance imaging (MRI) in patients with hip implants-presetting a protocol using a phantom.Quantitative imaging in medicine and surgery · 2024Article
- Development of fetal magnetic resonance imaging (MRI) phantom.Quantitative imaging in medicine and surgery · 2024Article
- Robust frequency-dependent diffusional kurtosis computation using an efficient direction scheme, axisymmetric modelling, and spatial regularization.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Repeatability and reproducibility of apparent exchange rate measurements in yeast cell phantoms using filter-exchange imaging.Magma (New York, N.Y.) · 2023Article
- Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- A three-component multi-b-value diffusion-weighted imaging might be a useful biomarker for detecting microstructural features in gliomas with differences in malignancy and IDH-1 mutation status.European radiology · 2023Article
- Age- and memory- related differences in hippocampal gray matter integrity are better captured by NODDI compared to single-tensor diffusion imaging.Neurobiology of aging · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe paper covers modern approaches to the evaluation of neoplastic processes with diffusion-weighted imaging (DWI) and proposes a physical model for monitoring the primary quantitative parameters of DWI and quality assurance. Models of hindered and restricted diffusion are studied. MATERIAL AND
methodTo simulate hindered diffusion, we used aqueous solutions of polyvinylpyrrolidone with concentrations of 0 to 70%. We created siloxane-based water-in-oil emulsions that simulate restricted diffusion in the intracellular space. To obtain a high signal on DWI in the broadest range of b values, we used silicon oil with high T
resultsWe developed phantom with control substances for apparent diffusion coefficient (ADC) measurements ranging from normal tissue to benign and malignant lesions: from 2.29 to 0.28 mm
conclusionThe phantom can be used to assess the accuracy of the ADC measurements, as well as the effectiveness of fat suppression. The control substances (emulsions) can be used as a body marker for quality assurance in whole-body DWI with a wide range of b values.
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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.