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Journal Abstract Search

505 related items for PubMed ID: 29566449

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  • 3. Quantitative analysis of hepatic iron in patients suspected of coexisting iron overload and steatosis using multi-echo single-voxel magnetic resonance spectroscopy: Comparison with fat-saturated multi-echo gradient echo sequence.
    Lin H, Fu C, Kannengiesser S, Cheng S, Shen J, Dong H, Yan F.
    J Magn Reson Imaging; 2018 Jul; 48(1):205-213. PubMed ID: 29513377
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  • 5. Quantitative susceptibility mapping in combination with water-fat separation for simultaneous liver iron and fat fraction quantification.
    Lin H, Wei H, He N, Fu C, Cheng S, Shen J, Wang B, Yan X, Liu C, Yan F.
    Eur Radiol; 2018 Aug; 28(8):3494-3504. PubMed ID: 29470640
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  • 6. Assessment of MR-based R2* and quantitative susceptibility mapping for the quantification of liver iron concentration in a mouse model at 7T.
    Simchick G, Liu Z, Nagy T, Xiong M, Zhao Q.
    Magn Reson Med; 2018 Nov; 80(5):2081-2093. PubMed ID: 29575047
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  • 7. Ultrashort echo time imaging for quantification of hepatic iron overload: Comparison of acquisition and fitting methods via simulations, phantoms, and in vivo data.
    Tipirneni-Sajja A, Loeffler RB, Krafft AJ, Sajewski AN, Ogg RJ, Hankins JS, Hillenbrand CM.
    J Magn Reson Imaging; 2019 May; 49(5):1475-1488. PubMed ID: 30358001
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  • 8. Ultra-short echo time images quantify high liver iron.
    Doyle EK, Toy K, Valdez B, Chia JM, Coates T, Wood JC.
    Magn Reson Med; 2018 Mar; 79(3):1579-1585. PubMed ID: 28643355
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  • 10. Simultaneous quantitative susceptibility mapping (QSM) and R2* for high iron concentration quantification with 3D ultrashort echo time sequences: An echo dependence study.
    Lu X, Ma Y, Chang EY, He Q, Searleman A, von Drygalski A, Du J.
    Magn Reson Med; 2018 Apr; 79(4):2315-2322. PubMed ID: 29314215
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  • 11. Inter-method reproducibility of biexponential R2 MR relaxometry for estimation of liver iron concentration.
    Pirasteh A, Yuan Q, Hernando D, Reeder SB, Pedrosa I, Yokoo T.
    Magn Reson Med; 2018 Dec; 80(6):2691-2701. PubMed ID: 29770484
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  • 12. Autoregressive moving average modeling for hepatic iron quantification in the presence of fat.
    Tipirneni-Sajja A, Krafft AJ, Loeffler RB, Song R, Bahrami A, Hankins JS, Hillenbrand CM.
    J Magn Reson Imaging; 2019 Nov; 50(5):1620-1632. PubMed ID: 30761652
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  • 13. Bone quantitative susceptibility mapping using a chemical species-specific R2* signal model with ultrashort and conventional echo data.
    Dimov AV, Liu Z, Spincemaille P, Prince MR, Du J, Wang Y.
    Magn Reson Med; 2018 Jan; 79(1):121-128. PubMed ID: 28261863
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  • 14. Does fat suppression via chemically selective saturation affect R2*-MRI for transfusional iron overload assessment? A clinical evaluation at 1.5T and 3T.
    Krafft AJ, Loeffler RB, Song R, Bian X, McCarville MB, Hankins JS, Hillenbrand CM.
    Magn Reson Med; 2016 Aug; 76(2):591-601. PubMed ID: 26308155
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  • 19. Iron deposition quantification: Applications in the brain and liver.
    Yan F, He N, Lin H, Li R.
    J Magn Reson Imaging; 2018 Aug; 48(2):301-317. PubMed ID: 29897645
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  • 20. Application of the magnetic resonance 3D multiecho Dixon sequence for quantifying hepatic iron overload and steatosis in patients with thalassemia.
    Zhao F, Chen Y, Zhou T, Tang C, Huang J, Zhang H, Kannengiesser S, Long L.
    Magn Reson Imaging; 2024 Sep; 111():28-34. PubMed ID: 38492786
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