医学
图像质量
霍恩斯菲尔德秤
迭代重建
核医学
图像噪声
还原(数学)
成像体模
信噪比(成像)
降噪
断层摄影术
噪音(视频)
锥束ct
计算机断层摄影术
放射科
人工智能
数学
图像(数学)
光学
计算机科学
物理
几何学
作者
Johann-Martin Hempel,Malte Bongers,Katharina Braun,Ulrike Ernemann,Georg Bier
标识
DOI:10.1177/0284185118820699
摘要
BackgroundThe novel advanced modeled iterative reconstruction (ADMIRE) algorithm in ultra-high-resolution (UHR) computed tomography (CT) of the temporal bone has not yet been systematically evaluated. Material and MethodsForty-four patients who underwent UHR CT of the temporal bone using z-axis UHR protocol were retrospectively selected for analysis. Images were reconstructed using filtered back projection (FBP) and ADMIRE with multiple strength levels. Regions of interest were drawn in the posterior fossa and petrous bone. The average density (in Hounsfield units [HU]) and the image noise (standard deviation of density values) were extracted. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were then calculated. Additionally, a subjective qualitative analysis was performed using a five-point Likert scale. The potential dose reduction was extrapolated from objective analysis and confirmed in an additional phantom study. ResultsThe image noise was significantly lower, and the SNR and CNR were significantly higher in ADMIRE reconstructions levels A2–A5 than in FBP (P < 0.001, respectively). Subjective image quality was significantly higher in ADMIRE levels A2–A5 than in FBP (P < 0.001) and it was rated best in ADMIRE level A3. Confirmed by the results from the phantom study, a dose reduction of at least 40% was feasible while maintaining image quality. ConclusionsThe ADMIRE reconstruction algorithm significantly improves image quality and reduces noise on temporal bone UHR CT scans. Thus, it allows for substantial dose reduction.
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