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Fast, interleaved, Look-Locker-based T1 mapping with a variable averaging approach: towards temperature mapping at low magnetic field.

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Proton resonance frequency shift (PRFS) is currently the gold standard method for magnetic resonance thermometry. Yet, the linearity between the temperature-dependent phase accumulation and the static magnetic field B0 confines… Click to show full abstract

Proton resonance frequency shift (PRFS) is currently the gold standard method for magnetic resonance thermometry. Yet, the linearity between the temperature-dependent phase accumulation and the static magnetic field B0 confines its use to rather high-field scanners. Applications such as thermal therapies could naturally benefit from lower field MRI settings though, leveraging increased accessibility, lower physical and economical footprint, and further considering the technical challenges associated with the integration of heating systems into conventional clinical scanners. T1 -based thermometry has been proposed as an alternative to the gold standard; however, due to longer acquisition times, it has found clinical use solely with adipose tissue where PRFS fails. At low field, the enhanced T1 dispersion, combined with reduced relaxation times, make T1 mapping an appealing candidate. Here, an interleaved Look-Locker-based T1 mapping sequence was proposed for temperature quantification at 0.1 T. A variable averaging scheme was introduced, to maximise SNR throughout T1 recovery. In calibrated samples, an average T1 accuracy of 85 ± 4 % was achieved in 10 min, compared to the 77 ± 7 % obtained using a standard averaging scheme. Temperature maps between 29.0 and 41.7 °C were eventually reconstructed, with a precision of 3.0 ± 1.1 °C and an accuracy of 1.5 ± 1.0 °C. Accounting for longer thermal treatments and less strict temperature constraints, applications such as MR-guided mild hyperthermia treatments at low field could be envisioned.

Keywords: based mapping; interleaved look; locker based; look locker; magnetic field; field

Journal Title: NMR in biomedicine
Year Published: 2022

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