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Forward Modeling Steady-State Free Precession in Surface NMR

2022· article· en· 10 citations· W4312554799 on OpenAlex· 10.1109/tgrs.2022.3221624

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

The three-model screen

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All three models called this out of scope.

stratum: fund_new · design weight: 1678.90 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Geophysics paper deriving a forward model for steady-state free precession in surface NMR; the object is a subsurface sensing technique.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

This develops and validates a surface NMR forward model for geophysical measurement, not research methodology as an object.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Geophysical method paper on surface NMR SSFP forward modeling; domain technique, not research evaluation.

Abstract

In efforts to map water at depth, steady-state free-precession (SSFP) sequences promise to rapidly increase data acquisition rates in the practice of surface nuclear magnetic resonance (NMR). Unlike conventional surface NMR excitation schemes, pulses in SSFP are transmitted so frequently that the nuclear magnetization of hydrogen in water can not return to its natural alignment with the earth’s ambient magnetic field, and instead achieve a steady-state; a dynamic equilibrium between pulses. Unfortunately, the traditional formulations of SSFP sequences and the full surface NMR forward models are not immediately compatible with each other. Firstly, the traditional analysis of SSFP sequences assume that relaxation during pulse (RDP) effects are negligible, which is not always valid in surface NMR. Secondly, even for single pulse measurements, the surface NMR forward model can be computationally demanding; this challenge scales with the number of pulses. Here we investigate the incorporation of RDP effects on the dynamic equilibrium of SSFP measurements. This is then incorporated into the full surface NMR forward model by deriving analytical expressions to directly predict processed surface NMR data. The model is validated by jointly inverting an extensive and diverse suite of SSFP measurements; 12 distinct sequences each with 16 pulse moments. The inverted model has a data misfit of 0.99 and is consistent with models derived from standard NMR data. The ability of our forward model to reproduce diverse signals and jointly invert them is a strong indication of its validity.

Stored with the screening record, where it is evidence for the labels above.

The record

Venue
IEEE Transactions on Geoscience and Remote Sensing
Topic
NMR spectroscopy and applications
Field
Physics and Astronomy
Canadian institutions
Funders
Natural Sciences and Engineering Research Council of CanadaVillum Fonden
Keywords
PrecessionSteady state (chemistry)Nuclear magnetic resonancePhysicsChemistryCondensed matter physics
Has abstract in OpenAlex
yes