成像体模
碲锌镉
迭代重建
探测器
图像质量
光子计数
工件(错误)
能量(信号处理)
断层摄影术
核医学
数据集
光学
材料科学
物理
医学物理学
计算机科学
计算机视觉
人工智能
医学
图像(数学)
量子力学
作者
Devon Richtsmeier,J. William O’Connell,Pierre‐Antoine Rodesch,Kris Iniewski,Magdalena Bazalova‐Carter
摘要
NMAR offers slightly better performance compared to TRMAR in streak reduction and image quality metrics. However, TRMAR is less susceptible to metal segmentation errors and can closely approximate the reduction in the streak metal artifact seen in NMAR at 1/3 the computation time. With the recent introduction of PCD-CT into the clinic, TRMAR offers notable potential for fast, effective MAR.
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