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  Model-based reconstruction for T1 mapping using single-shot inversion-recovery radial FLASH.

Roeloffs, V. B., Wang, X., Sumpf, T., Untenberger, M., Voit, D., & Frahm, J. (2016). Model-based reconstruction for T1 mapping using single-shot inversion-recovery radial FLASH. International Journal of Imaging Systems and Technology, 26(4), 254-263. doi:10.1002/ima.22196.

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Roeloffs, V. B.1, Autor           
Wang, X.1, Autor           
Sumpf, T.1, Autor           
Untenberger, M.1, Autor           
Voit, D.1, Autor           
Frahm, J.1, Autor           
Affiliations:
1Biomedical NMR Research GmbH, MPI for Biophysical Chemistry, Max Planck Society, ou_578634              

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Schlagwörter: T1 mapping; Model-based reconstruction; Radial FLASH; Iterative reconstruction; Relaxometry
 Zusammenfassung: Quantitative parameter mapping in MRI is typically performed as a two-step procedure where serial imaging is followed by pixelwise model fitting. In contrast, model-based reconstructions directly reconstruct parameter maps from raw data without explicit image reconstruction. Here, we propose a method that determines T1 maps directly from multi-channel raw data as obtained by a single-shot inversion-recovery radial FLASH acquisition with a Golden Angle view order. Joint reconstruction of a T1, spin-density and flip-angle map is formulated as a nonlinear inverse problem and solved by the iteratively regularized Gauss-Newton method. Coil sensitivity profiles are determined from the same data in a preparatory step of the reconstruction. Validations included numerical simulations, in vitro MRI studies of an experimental T1 phantom, and in vivo studies of brain and abdomen of healthy subjects at a field strength of 3 T. The results obtained for a numerical and experimental phantom demonstrated excellent accuracy and precision of model-based T1 mapping. In vivo studies allowed for high-resolution T1 mapping of human brain (0.5–0.75 mm in-plane, 4 mm section thickness) and liver (1.0 mm, 5 mm section) within 3.6–5 s. In conclusion, the proposed method for model-based T1 mapping may become an alternative to two-step techniques, which rely on model fitting after serial image reconstruction. More extensive clinical trials now require accelerated computation and online implementation of the algorithm.

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Sprache(n): eng - English
 Datum: 2016-12-272016-12
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1002/ima.22196
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Titel: International Journal of Imaging Systems and Technology
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 26 (4) Artikelnummer: - Start- / Endseite: 254 - 263 Identifikator: -