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Journal Abstract Search

198 related items for PubMed ID: 30945385

  • 21. UTE-SENCEFUL: first results for 3D high-resolution lung ventilation imaging.
    Mendes Pereira L, Wech T, Weng AM, Kestler C, Veldhoen S, Bley TA, Köstler H.
    Magn Reson Med; 2019 Apr; 81(4):2464-2473. PubMed ID: 30393947
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  • 22. Semiautomated Segmentation and Analysis of Airway Lumen in Pediatric Patients Using Ultra Short Echo Time MRI.
    Genkin D, Zanette B, Grzela P, Benkert T, Subbarao P, Moraes TJ, Katz S, Ratjen F, Santyr G, Kirby M.
    Acad Radiol; 2024 Feb; 31(2):648-659. PubMed ID: 37550154
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  • 23. Retrospective respiratory self-gating and removal of bulk motion in pulmonary UTE MRI of neonates and adults.
    Higano NS, Hahn AD, Tkach JA, Cao X, Walkup LL, Thomen RP, Merhar SL, Kingma PS, Fain SB, Woods JC.
    Magn Reson Med; 2017 Mar; 77(3):1284-1295. PubMed ID: 26972576
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  • 24. 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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  • 25. Comparison of lung imaging using three-dimensional ultrashort echo time and zero echo time sequences: preliminary study.
    Bae K, Jeon KN, Hwang MJ, Lee JS, Ha JY, Ryu KH, Kim HC.
    Eur Radiol; 2019 May; 29(5):2253-2262. PubMed ID: 30547204
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  • 31. Variable flip angle 3D ultrashort echo time (UTE) T1 mapping of mouse lung: A repeatability assessment.
    Alamidi DF, Smailagic A, Bidar AW, Parker NS, Olsson M, Hockings PD, Lagerstrand KM, Olsson LE.
    J Magn Reson Imaging; 2018 Mar 08. PubMed ID: 29517831
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  • 35. Pulmonary MRI of neonates in the intensive care unit using 3D ultrashort echo time and a small footprint MRI system.
    Hahn AD, Higano NS, Walkup LL, Thomen RP, Cao X, Merhar SL, Tkach JA, Woods JC, Fain SB.
    J Magn Reson Imaging; 2017 Feb 08; 45(2):463-471. PubMed ID: 27458992
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  • 36. Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI.
    Astley JR, Biancardi AM, Hughes PJC, Marshall H, Smith LJ, Collier GJ, Eaden JA, Weatherley ND, Hatton MQ, Wild JM, Tahir BA.
    Sci Rep; 2022 Jun 22; 12(1):10566. PubMed ID: 35732795
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  • 37. Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI.
    Grøvik E, Yi D, Iv M, Tong E, Rubin D, Zaharchuk G.
    J Magn Reson Imaging; 2020 Jan 22; 51(1):175-182. PubMed ID: 31050074
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