ArticleMagnetic resonance in medicine2011
Removal of olefinic fat chemical shift artifact in diffusion MRI.
Article in Magnetic resonance in medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Comparative Performance Analysis of an Open Source Motion-Compensated Cardiac Diffusion Sequence Across Different MRI Systems and Gradient Strengths-A Pilot Study.Magnetic resonance in medicine · 2026Article
- Water/Fat Separated Echo Planar Time-Resolved Imaging (WFS-EPTI) for Distortion-Free Multi-Contrast MRI.Magnetic resonance in medicine · 2026Article
- Chemical shift-encoded multishot EPI for navigator-free prostate DWI.Magnetic resonance in medicine · 2025Article
- Distortion-free water-fat separated diffusion-weighted imaging using spatiotemporal joint reconstruction.Magnetic resonance in medicine · 2024Article
- Predicted effects of image acquisition and analysis conditions on DTMRI tractography-based muscle architecture estimates.Magnetic resonance in medicine · 2024Article
- Consistency of muscle fibers directionality in human thigh derived from diffusion-weighted MRI.Physics in medicine and biology · 2023Article
- 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
- MAGORINO: Magnitude-only fat fraction and RMagnetic resonance in medicine · 2023Article
- Water/fat separation for self-navigated diffusion-weighted multishot echo-planar imaging.NMR in biomedicine · 2023Article
- Regularized joint water-fat separation with BMagnetic resonance in medicine · 2021Article
- Pediatric skeletal diffusion-weighted magnetic resonance imaging: part 1 - technical considerations and optimization strategies.Pediatric radiology · 2021Review
- Validation of automated whole-body analysis of metabolic and morphological parameters from an integrated FDG-PET/MRI acquisition.Scientific reports · 2020Article
- Signal-to-noise ratio assessment of muscle diffusion tensor imaging using single image set and validation by the difference image method.The British journal of radiology · 2019Article
- Paraspinal Muscle DTI Metrics Predict Muscle Strength.Journal of magnetic resonance imaging : JMRI · 2019Article
- MRI assessment of the thigh musculature in dermatomyositis and healthy subjects using diffusion tensor imaging, intravoxel incoherent motion and dynamic DTI.European radiology · 2018Article
- Chemical shift encoding (CSE) for sensitive fluorine-19 MRI of perfluorocarbons with complex spectra.Magnetic resonance in medicine · 2018Article
- Quantitative MRI and spectroscopy of bone marrow.Journal of magnetic resonance imaging : JMRI · 2018Review
- An acetone-based phantom for quantitative diffusion MRI.Journal of magnetic resonance imaging : JMRI · 2017Article
- Renal Adiposity Confounds Quantitative Assessment of Markers of Renal Diffusion With MRI: A Proposed Correction Method.Investigative radiology · 2017Article
- Quantifying fat replacement of muscle by quantitative MRI in muscular dystrophy.Journal of neurology · 2017Review
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7 authors.
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Abstract
Diffusion-weighted (DW) MRI has emerged as a key tool for assessing the microstructure of tissues in healthy and diseased states. Because of its rapid acquisition speed and insensitivity to motion, single-shot echo-planar imaging is the most common DW imaging technique. However, the presence of fat signal can severely affect DW-echo planar imaging acquisitions because of the chemical shift artifact. Fat suppression is usually achieved through some form of chemical shift-based fat saturation. Such methods effectively suppress the signal originating from aliphatic fat protons, but fail to suppress the signal from olefinic protons. Olefinic fat signal may result in significant distortions in the DW images, which bias the subsequently estimated diffusion parameters. This article introduces a method for removing olefinic fat signal from DW images, based on an echo time-shifted acquisition. The method is developed and analyzed specifically in the context of single-shot DW-echo-planar imaging, where image phase is generally unreliable. The proposed method is tested with phantom and in vivo datasets, and compared with a standard acquisition to demonstrate its performance.
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