ArticleMagnetic resonance in medicine2021
Multiple-echo steady-state (MESS): Extending DESS for joint T
Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Cartilage compositional MRI-a narrative review of technical development and clinical applications over the past three decades.Skeletal radiology · 2024Review
- MRI-based TSkeletal radiology · 2023Review
- Updates on Compositional MRI Mapping of the Cartilage: Emerging Techniques and Applications.Journal of magnetic resonance imaging : JMRI · 2023Review
- Magnetic Resonance Imaging Versus Computed Tomography for Three-Dimensional Bone Imaging of Musculoskeletal Pathologies: A Review.Journal of magnetic resonance imaging : JMRI · 2022Review
- Multiple-echo steady-state (MESS): Extending DESS for joint TMagnetic resonance in medicine · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo extend the double echo steady-state (DESS) sequence to enable chemical-shift corrected water-fat separation.
methodsThis study proposes multiple-echo steady-state (MESS), a sequence that modifies the readouts of the DESS sequence to acquire two echoes each with bipolar readout gradients with higher readout bandwidth. This enables water-fat separation and eliminates the need for water-selective excitation that is often used in combination with DESS, without increasing scan time. An iterative fitting approach was used to perform joint chemical-shift corrected water-fat separation and T
resultsThe water-fat separation provided by MESS was robust and with quality comparable to water-selective DESS. MESS T
conclusionIn the same acquisition time as DESS, MESS provides water-fat separation with comparable SNR in the reconstructed water and fat images. By providing additional image contrasts in addition to the water-selective DESS images, MESS provides a promising alternative to DESS.
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Registered trials
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