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Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing.
MAGMA. 2020 Aug; 33(4):495-505.M

Abstract

OBJECTIVE

To accelerate tissue sodium concentration (TSC) quantification of skeletal muscle using 23Na MRI and 3D dictionary-learning compressed sensing (3D-DLCS).

MATERIALS AND METHODS

Simulations and in vivo 23Na MRI examinations of calf muscle were performed with a nominal spatial resolution of [Formula: see text]. Fully sampled and three undersampled 23Na MRI data sets (undersampling factors (USF) = 3, 4.4, 6.7) were evaluated. Ten healthy subjects were examined on a 3 Tesla MRI system. Results of the simulation study and the in vivo measurements were compared to the ground truth (GT) and the fully sampled fast Fourier transform (NUFFT) reconstruction, respectively.

RESULTS

Reconstruction results of simulated data with optimized 3D-DLCS yielded a lower deviation (< 4%) from the GT than results of the NUFFT reconstruction (> 5%) and a lower standard deviation (SD). For in vivo measurements, a TSC of [Formula: see text] was observed. The mean deviation from the reference is lower for the undersampled 3D-DLCS reconstructions (3.4%) than for NUFFT reconstructions (4.6%). SD is reduced using 3D-DLCS. Compared to a fully sampled NUFFT reconstruction, acquisition time could be reduced by a factor of 4.4 while maintaining similar quantitative accuracy.

DISCUSSION

The optimized 3D-DLCS reconstruction enables accelerated TSC measurements with high quantification accuracy.

Authors+Show Affiliations

Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 3, 91054, Erlangen, Germany. matthias.utzschneider@uk-erlangen.de. Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany. matthias.utzschneider@uk-erlangen.de.Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 3, 91054, Erlangen, Germany.Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 3, 91054, Erlangen, Germany.Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 3, 91054, Erlangen, Germany.Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 3, 91054, Erlangen, Germany. Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. Institute of Medical Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31950390

Citation

Utzschneider, Matthias, et al. "Accelerated Quantification of Tissue Sodium Concentration in Skeletal Muscle Tissue: Quantitative Capability of Dictionary Learning Compressed Sensing." Magma (New York, N.Y.), vol. 33, no. 4, 2020, pp. 495-505.
Utzschneider M, Behl NGR, Lachner S, et al. Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing. MAGMA. 2020;33(4):495-505.
Utzschneider, M., Behl, N. G. R., Lachner, S., Gast, L. V., Maier, A., Uder, M., & Nagel, A. M. (2020). Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing. Magma (New York, N.Y.), 33(4), 495-505. https://doi.org/10.1007/s10334-019-00819-2
Utzschneider M, et al. Accelerated Quantification of Tissue Sodium Concentration in Skeletal Muscle Tissue: Quantitative Capability of Dictionary Learning Compressed Sensing. MAGMA. 2020;33(4):495-505. PubMed PMID: 31950390.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing. AU - Utzschneider,Matthias, AU - Behl,Nicolas G R, AU - Lachner,Sebastian, AU - Gast,Lena V, AU - Maier,Andreas, AU - Uder,Michael, AU - Nagel,Armin M, Y1 - 2020/01/16/ PY - 2019/07/18/received PY - 2019/12/17/accepted PY - 2019/11/22/revised PY - 2020/1/18/pubmed PY - 2020/1/18/medline PY - 2020/1/18/entrez KW - Compressed sensing KW - Image reconstruction KW - Magnetic resonance imaging KW - Muscle KW - Skeletal KW - Sodium SP - 495 EP - 505 JF - Magma (New York, N.Y.) JO - MAGMA VL - 33 IS - 4 N2 - OBJECTIVE: To accelerate tissue sodium concentration (TSC) quantification of skeletal muscle using 23Na MRI and 3D dictionary-learning compressed sensing (3D-DLCS). MATERIALS AND METHODS: Simulations and in vivo 23Na MRI examinations of calf muscle were performed with a nominal spatial resolution of [Formula: see text]. Fully sampled and three undersampled 23Na MRI data sets (undersampling factors (USF) = 3, 4.4, 6.7) were evaluated. Ten healthy subjects were examined on a 3 Tesla MRI system. Results of the simulation study and the in vivo measurements were compared to the ground truth (GT) and the fully sampled fast Fourier transform (NUFFT) reconstruction, respectively. RESULTS: Reconstruction results of simulated data with optimized 3D-DLCS yielded a lower deviation (< 4%) from the GT than results of the NUFFT reconstruction (> 5%) and a lower standard deviation (SD). For in vivo measurements, a TSC of [Formula: see text] was observed. The mean deviation from the reference is lower for the undersampled 3D-DLCS reconstructions (3.4%) than for NUFFT reconstructions (4.6%). SD is reduced using 3D-DLCS. Compared to a fully sampled NUFFT reconstruction, acquisition time could be reduced by a factor of 4.4 while maintaining similar quantitative accuracy. DISCUSSION: The optimized 3D-DLCS reconstruction enables accelerated TSC measurements with high quantification accuracy. SN - 1352-8661 UR - https://www.unboundmedicine.com/medline/citation/31950390/Accelerated_quantification_of_tissue_sodium_concentration_in_skeletal_muscle_tissue:_quantitative_capability_of_dictionary_learning_compressed_sensing_ L2 - https://dx.doi.org/10.1007/s10334-019-00819-2 DB - PRIME DP - Unbound Medicine ER -
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