ArticleMagnetic resonance in medicine2013
Error model for reduction of cardiac and respiratory motion effects in quantitative liver DW-MRI.
Article in Magnetic resonance in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Adaptive Complex Signal Average Diffusion-Weighted MR Imaging of the Liver: Utility in Breath-Hold Imaging: A Retrospective Single-Center Study.Tomography (Ann Arbor, Mich.) · 2026Article
- Usefulness of Adaptive Complex Signal Average Diffusion-weighted MR Imaging of the Abdomen.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026Article
- Flow-suppressed 2D spin-echo imaging with high tolerance to BMagnetic resonance in medicine · 2026Article
- Reproducibility of liver ADC measurements using first moment optimized diffusion imaging.Magnetic resonance in medicine · 2025Article
- Precision of liver and pancreas apparent diffusion coefficients using motion-compensated gradient waveforms in DWI.Magnetic resonance imaging · 2024Article
- Technical Advancements in Abdominal Diffusion-weighted Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023Review
- Gradient nonlinearity correction in liver DWI using motion-compensated diffusion encoding waveforms.Magma (New York, N.Y.) · 2022Article
- Quantitative diffusion MRI of the abdomen and pelvis.Medical physics · 2022Article
- Intravoxel Incoherent Motion Magnetic Resonance Imaging in Skeletal Muscle: Review and Future Directions.Journal of magnetic resonance imaging : JMRI · 2022Review
- Improving the Quality of Diffusion-weighted Imaging of the Left Hepatic Lobe Using Weighted Averaging of Signals from Multiple Excitations.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2019Article
- Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling.Magnetic resonance in medicine · 2019Article
- Liver histology and diffusion-weighted MRI in children with nonalcoholic fatty liver disease: A MAGNET study.Journal of magnetic resonance imaging : JMRI · 2017Article
- Associations between histologic features of nonalcoholic fatty liver disease (NAFLD) and quantitative diffusion-weighted MRI measurements in adults.Journal of magnetic resonance imaging : JMRI · 2015Observational
- Evaluation of Magnetic Resonance (MR) Biomarkers for Assessment of Response With Response Evaluation Criteria in Solid Tumors: Comparison of the Measurements of Neuroendocrine Tumor Liver Metastases (NETLM) With Various MR Sequences and at Multiple Phases of Contrast Administration.Journal of computer assisted tomographyArticle
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5 authors.
Funding
Abstract
Diffusion-weighted images of the liver exhibit signal dropout from cardiac and respiratory motion, particularly in the left lobe. These artifacts cause bias and variance in derived parameters that quantify intravoxel incoherent motion. Many models of diffusion have been proposed, but few separate attenuation from diffusion or perfusion from that of bulk motion. The error model proposed here (Beta*LogNormal) is intended to accomplish that separation by modeling stochastic attenuation from bulk motion as multiplication by a Beta-distributed random variate. Maximum likelihood estimation with this error model can be used to derive intravoxel incoherent motion parameters separate from signal dropout, and does not require a priori specification of parameters to do so. Liver intravoxel incoherent motion parameters were derived for six healthy subjects under this error model and compared with least-squares estimates. Least-squares estimates exhibited bias due to cardiac and respiratory gating and due to location within the liver. Bias from these factors was significantly reduced under the Beta*LogNormal model, as was within-organ parameter variance. Similar effects were appreciable in diffusivity maps in two patients with focal liver lesions. These results suggest that, relative to least-squares estimation, the Beta*LogNormal model accomplishes the intended reduction of bias and variance from bulk motion in liver diffusion imaging.
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