ArticleMagma (New York, N.Y.)2018
Comparison of methods for estimation of the intravoxel incoherent motion (IVIM) diffusion coefficient (D) and perfusion fraction (f).
Article in Magma (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Consensus-based technical recommendations for clinical translation of renal diffusion-weighted MRI.Magma (New York, N.Y.) · 2020Pooled it
- Neural networks improve repeatability of intravoxel incoherent motion (IVIM) parameter estimation in pancreatic diffusion-weighted MRI.Medical & biological engineering & computing · 2026Article
- Preoperative Prediction of Lymphovascular Space Invasion in Endometrial Cancer Using Diffusion MRI-Derived Vessel Density.Korean journal of radiology · 2026Article
- A Comparative Study of IVIM-MRI Fitting Techniques in Glioma Grading: Conventional, Bayesian, and Voxel-Wise and Spatially-Aware Deep Learning Approaches.Journal of magnetic resonance imaging : JMRI · 2026Article
- Towards Clinical Translation of Intravoxel Incoherent Motion MRI: Acquisition and Analysis Consensus Recommendations.Journal of magnetic resonance imaging : JMRI · 2026Article
- Hierarchical Bayesian Modelling Improves Microstructural Parameter Mapping in Diffusion and Exchange MRI Data.NMR in biomedicine · 2026Article
- Optimized analytical segmented method for improved intravoxel incoherent motion parameter extraction in low-perfused tissues.Magnetic resonance in medicine · 2025Article
- Report on the quantitative intra-voxel incoherent motion diffusion MRI reconstruction grand challenge.Medical physics · 2025Article
- Perfusion Showdown: Comparison of Multiple MRI Perfusion Techniques in the Grading of Pediatric Brain Tumors.AJNR. American journal of neuroradiology · 2025Article
- Imaging characteristics of brain microstructure and cerebral perfusion in Crohn's disease patients with anxiety: A prospective comparative study.World journal of gastroenterology · 2025Article
- Signal drift in diffusion MRI of the brain: effects on intravoxel incoherent motion parameter estimates.Magma (New York, N.Y.) · 2024Article
- Application of functional magnetic resonance imaging to evaluate renal structure and function in type 2 cardiorenal syndrome.BMC cardiovascular disorders · 2024Observational
- Probing Renal Microstructure and Function with Advanced Diffusion MRI: Concepts, Applications, Challenges, and Future Directions.Journal of magnetic resonance imaging : JMRI · 2024Review
- Parametric response mapping of co-registered intravoxel incoherent motion magnetic resonance imaging and positron emission tomography in locally advanced cervical cancer undergoing concurrent chemoradiation therapy.Physics and imaging in radiation oncology · 2024Article
- Improving Accuracy of Intravoxel Incoherent Motion Reconstruction using Kalman Filter in Combination with Neural Networks: A Simulation Study.Journal of biomedical physics & engineering · 2024Article
- Assessment of fitting methods and variability of IVIM parameters in muscles of the lumbar spine at rest.Frontiers in musculoskeletal disorders · 2024Article
- Intravoxel Incoherent Motion Quantification Dependent on Measurement SNR and Tissue Perfusion: A Simulation Study.Journal of biomedical physics & engineering · 2023Article
- Quantitative perfusion and water transport time model from multiJournal of medical imaging (Bellingham, Wash.) · 2023Article
- Article
- Optimizing b-values schemes for diffusion MRI of the brain with segmented Intravoxel Incoherent Motion (IVIM) model.Journal of applied clinical medical physics · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectiveIntravoxel incoherent motion (IVIM) shows great potential in many applications, e.g., tumor tissue characterization. To reduce image-quality demands, various IVIM analysis approaches restricted to the diffusion coefficient (D) and the perfusion fraction (f) are increasingly being employed. In this work, the impact of estimation approach for D and f is studied. MATERIALS AND
methodsFour approaches for estimating D and f were studied: segmented IVIM fitting, least-squares fitting of a simplified IVIM model (sIVIM), and Bayesian fitting of the sIVIM model using marginal posterior modes or posterior means. The estimation approaches were evaluated in terms of bias and variability as well as ability for differentiation between tumor and healthy liver tissue using simulated and in vivo data.
resultsAll estimation approaches had similar variability and ability for differentiation and negligible bias, except for the Bayesian posterior mean of f, which was substantially biased. Combined use of D and f improved tumor-to-liver tissue differentiation compared with using D or f separately. DISCUSSION: The similar performance between estimation approaches renders the segmented one preferable due to lower numerical complexity and shorter computational time. Superior tissue differentiation when combining D and f suggests complementary biologically relevant information.
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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.