ArticleMagnetic resonance in medicine2017
Chemical exchange saturation transfer (CEST) imaging with fast variably-accelerated sensitivity encoding (vSENSE).
Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Dynamic glucose-enhanced MRI in brain tumors.Magma (New York, N.Y.) · 2026Review
- Evaluating the effectiveness of distortion self-correction for CEST-EPI.Magnetic resonance in medicine · 2026Article
- 3D CEST MRI with an unevenly segmented RF irradiation scheme: A feasibility study in brain tumor imaging.Magnetic resonance in medicine · 2023Article
- An update on liver chemical exchange saturation transfer imaging with a focus on clinical translation.Quantitative imaging in medicine and surgery · 2023Article
- Review and consensus recommendations on clinical APT-weighted imaging approaches at 3T: Application to brain tumors.Magnetic resonance in medicine · 2022Review
- Demonstration of fast multi-slice quasi-steady-state chemical exchange saturation transfer (QUASS CEST) human brain imaging at 3T.Magnetic resonance in medicine · 2022Article
- Clinical translation of amide proton transfer (APT) MRI for ischemic stroke: a systematic review (2003-2020).Quantitative imaging in medicine and surgery · 2021Review
- CEST MRI trackable nanoparticle drug delivery systems.Biomedical materials (Bristol, England) · 2021Review
- Repurposing Clinical Agents for Chemical Exchange Saturation Transfer Magnetic Resonance Imaging: Current Status and Future Perspectives.Pharmaceuticals (Basel, Switzerland) · 2020Review
- Regional Mapping of Brain Glutamate Distributions Using Glutamate-Weighted Chemical Exchange Saturation Transfer Imaging.Diagnostics (Basel, Switzerland) · 2020Article
- Prospective acceleration of parallel RF transmission-based 3D chemical exchange saturation transfer imaging with compressed sensing.Magnetic resonance in medicine · 2019Article
- APT-weighted MRI: Techniques, current neuro applications, and challenging issues.Journal of magnetic resonance imaging : JMRI · 2019Review
- MRI detection of bacterial brain abscesses and monitoring of antibiotic treatment using bacCEST.Magnetic resonance in medicine · 2018Article
- Ultrafast compartmentalized relaxation time mapping with linear algebraic modeling.Magnetic resonance in medicine · 2018Article
- Improving the detection sensitivity of pH-weighted amide proton transfer MRI in acute stroke patients using extrapolated semisolid magnetization transfer reference signals.Magnetic resonance in medicine · 2017Article
- Fast, Reliable 3D Amide Proton Transfer Imaging of Brain Tumors at 3T with Variably-accelerated Sensitivity Encoding (vSENSE).Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition · 2017Article
- A dextran-based probe for the targeted magnetic resonance imaging of tumours expressing prostate-specific membrane antigen.Nature biomedical engineering · 2017Article
- Chemical Exchange Saturation Transfer MRI: What Neuro-Oncology Clinicians Need To Know.Technology in cancer research & treatmentReview
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7 authors.
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Abstract
purposeThe widespread clinical use of chemical exchange saturation transfer (CEST) imaging is hampered by relatively long scan times due to its requirement that multiple saturation-offset image frames be acquired. Here, a novel variably-accelerated sensitivity encoding (vSENSE) method is proposed that provides faster CEST acquisition than conventional SENSE. THEORY AND
methodsThe vSENSE method fully samples one CEST saturation frame, then undersamples the other frames variably. The fully-sampled frame, in conjunction with newly proposed incoherence absorption and artifact suppression strategies, improves the accuracy of sensitivity maps and permits higher acceleration factors for the other undersampled frames than regular SENSE. vSENSE is validated in a phantom, a normal volunteer and eight brain tumor patients at 3 Tesla.
resultsvSENSE with an acceleration factor of four generated a 3-6 times smaller error on average than conventional SENSE (P ≤ 0.02), with acceleration factors of 2-4, as compared with full k-space reconstruction. vSENSE permitted four-fold acceleration for amide proton transfer-weighted images, while regular SENSE could only provide a factor of two. When conventional SENSE is used with vSENSE's variable undersampling pattern, erroneous (∼9%) z-spectra result.
conclusionThe vSENSE method enabled twice the acceleration and generated more accurate images than conventional SENSE. Magn Reson Med 77:2225-2238, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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