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Journal Abstract Search

128 related items for PubMed ID: 38492786

  • 21. Quantitative susceptibility mapping (QSM) minimizes interference from cellular pathology in R2* estimation of liver iron concentration.
    Li J, Lin H, Liu T, Zhang Z, Prince MR, Gillen K, Yan X, Song Q, Hua T, Zhao X, Zhang M, Zhao Y, Li G, Tang G, Yang G, Brittenham GM, Wang Y.
    J Magn Reson Imaging; 2018 Oct; 48(4):1069-1079. PubMed ID: 29566449
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  • 22. 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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  • 26. 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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  • 28. 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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  • 29. Automated vessel exclusion technique for quantitative assessment of hepatic iron overload by R2*-MRI.
    Tipirneni-Sajja A, Song R, McCarville MB, Loeffler RB, Hankins JS, Hillenbrand CM.
    J Magn Reson Imaging; 2018 Jun; 47(6):1542-1551. PubMed ID: 29083524
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  • 30. Prevalence of Fatty Liver Disease and Hepatic Iron Overload in a Northeastern German Population by Using Quantitative MR Imaging.
    Kühn JP, Meffert P, Heske C, Kromrey ML, Schmidt CO, Mensel B, Völzke H, Lerch MM, Hernando D, Mayerle J, Reeder SB.
    Radiology; 2017 Sep; 284(3):706-716. PubMed ID: 28481195
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  • 31. Interexamination repeatability and spatial heterogeneity of liver iron and fat quantification using MRI-based multistep adaptive fitting algorithm.
    Sofue K, Mileto A, Dale BM, Zhong X, Bashir MR.
    J Magn Reson Imaging; 2015 Nov; 42(5):1281-90. PubMed ID: 25920074
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  • 32. 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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  • 33. Dual gradient echo in-phase and out of phase sequences in assessment of hepatic iron overload in patients with beta-thalassemia, would be better?
    Ali Mohamed Aboughonaim A, Naguib Ettaby A, Ibrahim El-Noueum K, Hassab H, Emara DM.
    Eur J Radiol; 2022 Sep; 154():110412. PubMed ID: 35724580
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  • 35. MRI-Based Liver Iron Content Determination at 3T in Regularly Transfused Patients by Signal Intensity Ratio Using an Alternative Analysis Approach Based on R2* Theory.
    Wunderlich AP, Cario H, Bommer M, Beer M, Schmidt SA, Juchems MS.
    Rofo; 2016 Sep; 188(9):846-52. PubMed ID: 27299667
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  • 36. Deep Learning for Inference of Hepatic Proton Density Fat Fraction From T1-Weighted In-Phase and Opposed-Phase MRI: Retrospective Analysis of Population-Based Trial Data.
    Wang K, Cunha GM, Hasenstab K, Henderson WC, Middleton MS, Cole SA, Umans JG, Ali T, Hsiao A, Sirlin CB.
    AJR Am J Roentgenol; 2023 Nov; 221(5):620-631. PubMed ID: 37466189
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  • 38. Can negligible hepatic steatosis determined by magnetic resonance imaging-proton density fat fraction obviate the need for liver biopsy in potential liver donors?
    Satkunasingham J, Nik HH, Fischer S, Menezes R, Selzner N, Cattral M, Grant D, Jhaveri K.
    Liver Transpl; 2018 Apr; 24(4):470-477. PubMed ID: 29080242
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  • 39. Pilot study assessing differentiation of steatosis hepatis, hepatic iron overload, and combined disease using two-point dixon MRI at 3 T: in vitro and in vivo results of a 2D decomposition technique.
    Boll DT, Marin D, Redmon GM, Zink SI, Merkle EM.
    AJR Am J Roentgenol; 2010 Apr; 194(4):964-71. PubMed ID: 20308498
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  • 40. Liver R2* is affected by both iron and fat: A dual biopsy-validated study of chronic liver disease.
    Karlsson M, Ekstedt M, Dahlström N, Forsgren MF, Ignatova S, Norén B, Dahlqvist Leinhard O, Kechagias S, Lundberg P.
    J Magn Reson Imaging; 2019 Jul; 50(1):325-333. PubMed ID: 30637926
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