Phase‐Sensitive Modeling Improves Fat DESPOT Multiparametric Relaxation Mapping in Fat‐Water Mixtures
Renée‐Claude Bider, Cristian Ciobanu, Jorge Campos Pazmiño, Véronique Fortier, Evan McNabb, Ives R. Levesque · 2026
Read Phase‐Sensitive Modeling Improves Fat DESPOT Multiparametric Relaxation Mapping in Fat‐Water Mixtures by Renée‐Claude Bider, Cristian Ciobanu, Jorge Campos Pazmiño, Véronique Fortier, Evan McNabb, Ives R. Levesque (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13527274.txt.
Description
Renée-Claude Bider and colleagues improve, in a 2026 methods study, a multiparametric MRI technique that maps fat and water properties separately in mixed tissue. Fat DESPOT estimates relaxation rates and fat fraction in one session, useful for liver, pancreas, and tumor work. The upgrade adds sensitivity to the phase of the signals and tests two ways to seed the fitting.
Experiments at three tesla used fat emulsion phantoms, then legs and abdomens of healthy volunteers. Two seeding strategies gave similar estimates and precision, though one drifted at a fifty percent fat mixture. Models fitting the full complex signal performed best, matching reference fat fraction within about a percentage point on average and giving the tightest precision across parameters. The authors recommend the complex, graph-cut seeded version.
Catalog record
| CREATOR | Renée‐Claude Bider, Cristian Ciobanu, Jorge Campos Pazmiño, Véronique Fortier, Evan McNabb, Ives R. Levesque |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 45 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |