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Adaptive Statistical Iterative Reconstruction-V For Lung Nodule Analysis, Cherry Au, Zhenteng Li, Md, Eric Gingold, Md, Ethan Halpern, Md, Baskaran Sundaram, Md
Adaptive Statistical Iterative Reconstruction-V For Lung Nodule Analysis, Cherry Au, Zhenteng Li, Md, Eric Gingold, Md, Ethan Halpern, Md, Baskaran Sundaram, Md
Phase 1
Introduction: Low-dose CT in lung cancer screening has demonstrated benefits in select patients. As the traditional filtered back projection (FBP) technique is limited by poor image quality, adaptive statistical iterative reconstruction-V (ASIR-V) algorithm has been developed to achieve higher image quality with processing efficiency.
Objective: To investigate the impact of various CT scan parameters on the semi-automated measurement of lung nodules using a Computer Aided Detection (CAD) program.
Methods: This IRB-exempt phantom experiment was conducted with a CT scanner capable of ASIR-V algorithm. Eight lung nodules sized 5-12 mm, of solid or ground glass type, were placed inside a multipurpose …