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Convolutional Neural Networks with Template-Based Data Augmentation for Functional Lung Image Quantification.

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第一作者： Nicholas J,Tustison

第一单位： Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia. Electronic address: ntustison@virginia.edu.

作者： Nicholas J,Tustison ^[1] ; Brian B,Avants ^[2] ; Zixuan,Lin ^[3] ; Xue,Feng ^[3] ; Nicholas,Cullen ^[4] ; Jaime F,Mata ^[3] ; Lucia,Flors ^[5] ; James C,Gee ^[4] ; Talissa A,Altes ^[5] ; John P,Mugler Iii ^[3] ; Kun,Qing ^[3]

作者单位： Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia. Electronic address: ntustison@virginia.edu. ^[1] Cingulate, Hampton, New Hampshire. ^[2] Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia. ^[3] Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania. ^[4] Department of Radiology, University of Missouri, Columbia, Missouri. ^[5]

关键词 ANTsRNet Advanced Normalization Tools Hyperpolarized gas imaging Neural networks Proton lung MRI U-net

医学主题词计算机模拟(Computer Simulation);人类(Humans);肺(Lung);磁共振成像(Magnetic Resonance Imaging);质子(Protons);肺通气(Pulmonary Ventilation)

DOI 10.1016/j.acra.2018.08.003

PMID 30195415

发布时间 2020-03-09

基金项目

R01 HL133889/HL/NHLBI NIH HHS/United States R01 HL132177/HL/NHLBI NIH HHS/United States R44 HL087550/HL/NHLBI NIH HHS/United States R01 HL109618/HL/NHLBI NIH HHS/United States R21 HL129112/HL/NHLBI NIH HHS/United States

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