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Downloaded from http://journals.lww.com/jcat by BhDMf5ePHKbH4TTImqenVA5KvPVPZ0P5BEgU+IUTEfzO/GUWifn2IfwcEVVH9SSn on 06/01/2020 ORIGINAL ARTICLE Effect of New Model-Based Iterative Reconstruction on Quantitative Analysis of Airway Tree by Computer-Aided Detection Software in Chest Computed Tomography Yongjun Jia, MD,* Bingying Zhai, MD,† Taiping He, MD,* Yong Yu, MD,* Nan Yu, PhD,* Haifeng Duan, MD,* Chuangbo Yang, MD,* and Jian-ying Li, PhD‡ effects often cause uneven gray scale distribution in the trachea and Objective: Compared the performance of computer-aided detection 2 lead to the discontinuous of the distal bronchial walls or the disap- (CAD) software for quantitative analysis of airway using computed tomog- 3 pearance (leakage) of distal bronchioles, which will affect the accu- raphy (CT) images reconstructed with versions of model-based iterative re- 3 racy when using CAD. In response to these concerns and calls for construction (MBIR) that either balances spatial and density resolution dose reduction, CT vendors have developed several techniques to (MBIR ) or prefers spatial resolution (MBIR ), and adaptive statis- STND RP20 help maintain diagnostic image quality of studies acquired at a lower tical iterative reconstruction (ASIR) with lung kernel. 4 radiation dose. Hybrid iterative reconstruction, such as adaptive sta- Methods: Thirty patients were included who were scanned for pulmonary tistical
Journal of Computer Assisted Tomography – Wolters Kluwer Health
Published: Jan 1, 2020
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