首页> 外文期刊>Journal of computer assisted tomography >Comparison of Model-Based Iterative Reconstruction, Adaptive Statistical Iterative Reconstruction, and Filtered Back Projection for Detecting Hepatic Metastases on Submillisievert Low-Dose Computed Tomography
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Comparison of Model-Based Iterative Reconstruction, Adaptive Statistical Iterative Reconstruction, and Filtered Back Projection for Detecting Hepatic Metastases on Submillisievert Low-Dose Computed Tomography

机译:基于模型的迭代重建,自适应统计迭代重建的比较,并过滤后潜水潜水肝脏转移计算断层扫描的肝转移

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摘要

Objective: The aim of the study was to compare the diagnostic performance of model-based iterative reconstruction (MBIR), adaptive statistical iterative reconstruction (ASIR), and filtered back projection (FBP) on submillisievert low-dose computed tomography (LDCT) for detecting hepatic metastases.
机译:目的:该研究的目的是比较模型的迭代重建(MBIR),自适应统计迭代重建(ASIR)的诊断性能,并在潜水isievert低剂量计算机断层扫描(LDCT)上过滤后投影(FBP)进行检测 肝脏转移。

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