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PUBMED FOR HANDHELDS

Journal Abstract Search


237 related items for PubMed ID: 26724662

  • 1. Hybrid Type iterative reconstruction method vs. filter back projection method: Capability for radiation dose reduction and perfusion assessment on dynamic first-pass contrast-enhanced perfusion chest area-detector CT.
    Ohno Y, Koyama H, Fujisawa Y, Yoshikawa T, Inokawa H, Sugihara N, Seki S, Sugimura K.
    Eur J Radiol; 2016 Jan; 85(1):164-175. PubMed ID: 26724662
    [Abstract] [Full Text] [Related]

  • 2. Adaptive iterative dose reduction 3D (AIDR 3D) vs. filtered back projection: radiation dose reduction capabilities of wide volume and helical scanning techniques on area-detector CT in a chest phantom study.
    Seki S, Koyama H, Ohno Y, Matsumoto S, Inokawa H, Sugihara N, Sugimura K.
    Acta Radiol; 2016 Jun; 57(6):684-90. PubMed ID: 26339037
    [Abstract] [Full Text] [Related]

  • 3. Comparative evaluation of newly developed model-based and commercially available hybrid-type iterative reconstruction methods and filter back projection method in terms of accuracy of computer-aided volumetry (CADv) for low-dose CT protocols in phantom study.
    Ohno Y, Yaguchi A, Okazaki T, Aoyagi K, Yamagata H, Sugihara N, Koyama H, Yoshikawa T, Sugimura K.
    Eur J Radiol; 2016 Aug; 85(8):1375-82. PubMed ID: 27423675
    [Abstract] [Full Text] [Related]

  • 4. Performance of adaptive iterative dose reduction 3D integrated with automatic tube current modulation in radiation dose and image noise reduction compared with filtered-back projection for 80-kVp abdominal CT: Anthropomorphic phantom and patient study.
    Chen CM, Lin YY, Hsu MY, Hung CF, Liao YL, Tsai HY.
    Eur J Radiol; 2016 Sep; 85(9):1666-72. PubMed ID: 27501904
    [Abstract] [Full Text] [Related]

  • 5. Comparison of computer-aided detection (CADe) capability for pulmonary nodules among standard-, reduced- and ultra-low-dose CTs with and without hybrid type iterative reconstruction technique.
    Ohno Y, Aoyagi K, Chen Q, Sugihara N, Iwasawa T, Okada F, Aoki T.
    Eur J Radiol; 2018 Mar; 100():49-57. PubMed ID: 29496079
    [Abstract] [Full Text] [Related]

  • 6. Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT.
    Singh R, Digumarthy SR, Muse VV, Kambadakone AR, Blake MA, Tabari A, Hoi Y, Akino N, Angel E, Madan R, Kalra MK.
    AJR Am J Roentgenol; 2020 Mar; 214(3):566-573. PubMed ID: 31967501
    [Abstract] [Full Text] [Related]

  • 7. Forward-Projected Model-Based Iterative Reconstruction in Screening Low-Dose Chest CT: Comparison With Adaptive Iterative Dose Reduction 3D.
    Hassani C, Ronco A, Prosper AE, Dissanayake S, Cen SY, Lee C.
    AJR Am J Roentgenol; 2018 Sep; 211(3):548-556. PubMed ID: 30040468
    [Abstract] [Full Text] [Related]

  • 8. Impact of adaptive iterative dose reduction (AIDR) 3D on low-dose abdominal CT: comparison with routine-dose CT using filtered back projection.
    Matsuki M, Murakami T, Juri H, Yoshikawa S, Narumi Y.
    Acta Radiol; 2013 Oct; 54(8):869-75. PubMed ID: 23761554
    [Abstract] [Full Text] [Related]

  • 9. Dose reduction in chest CT: comparison of the adaptive iterative dose reduction 3D, adaptive iterative dose reduction, and filtered back projection reconstruction techniques.
    Yamada Y, Jinzaki M, Hosokawa T, Tanami Y, Sugiura H, Abe T, Kuribayashi S.
    Eur J Radiol; 2012 Dec; 81(12):4185-95. PubMed ID: 22883532
    [Abstract] [Full Text] [Related]

  • 10. Feasibility of radiation dose reduction using AIDR-3D in dynamic pulmonary CT perfusion.
    Mirsadraee S, Weir NW, Connolly S, Murchison JT, Reid JH, Hirani N, Connell M, van Beek EJ.
    Clin Radiol; 2015 Aug; 70(8):844-51. PubMed ID: 26005001
    [Abstract] [Full Text] [Related]

  • 11. Optimizing image quality for pediatric torso computed tomography: the use of advanced iterative reconstruction and wide-detector scanning techniques.
    Buchmann RF, Bruce Greenberg S.
    J Comput Assist Tomogr; 2014 Aug; 38(5):786-9. PubMed ID: 24943252
    [Abstract] [Full Text] [Related]

  • 12. Adaptive iterative dose reduction using 3D processing for reduced- and low-dose pulmonary CT: comparison with standard-dose CT for image noise reduction and radiological findings.
    Ohno Y, Takenaka D, Kanda T, Yoshikawa T, Matsumoto S, Sugihara N, Sugimura K.
    AJR Am J Roentgenol; 2012 Oct; 199(4):W477-85. PubMed ID: 22997397
    [Abstract] [Full Text] [Related]

  • 13. Low-Dose Pelvic Computed Tomography Using Adaptive Iterative Dose Reduction 3-Dimensional Algorithm: A Phantom Study.
    Onishi H, Kockelkoren R, Kim T, Hori M, Nakamoto A, Tsuboyama T, Sakane M, Tatsumi M, Uranishi A, Tanaka T, Taniguchi A, Enchi Y, Satoh K, Tomiyama N.
    J Comput Assist Tomogr; 2015 Oct; 39(4):629-34. PubMed ID: 26125298
    [Abstract] [Full Text] [Related]

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  • 16. Comparison of Radiation Dose and Image Quality of Abdominopelvic CT Using Iterative (AIDR 3D) and Conventional Reconstructions.
    Mello-Amoedo CD, Martins AN, Tachibana A, Pinho DF, Baroni RH.
    AJR Am J Roentgenol; 2018 Jan; 210(1):127-133. PubMed ID: 29140117
    [Abstract] [Full Text] [Related]

  • 17. Deep learning image reconstruction for quality assessment of iodine concentration in computed tomography: A phantom study.
    Jeon PH, Lee CL.
    J Xray Sci Technol; 2023 Jan; 31(2):409-422. PubMed ID: 36744361
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  • 19. Adaptive iterative dose reduction algorithm in CT: effect on image quality compared with filtered back projection in body phantoms of different sizes.
    Kim M, Lee JM, Yoon JH, Son H, Choi JW, Han JK, Choi BI.
    Korean J Radiol; 2014 Jan; 15(2):195-204. PubMed ID: 24644409
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