Ning Peigang, Zhu Shaocheng, Shi Dapeng, Guo Ying, Sun Minghua
Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
PLoS One. 2014 Mar 24;9(3):e92568. doi: 10.1371/journal.pone.0092568. eCollection 2014.
This work aims to explore the effects of adaptive statistical iterative reconstruction (ASiR) and model-based iterative reconstruction (MBIR) algorithms in reducing computed tomography (CT) radiation dosages in abdominal imaging.
CT scans on a standard male phantom were performed at different tube currents. Images at the different tube currents were reconstructed with the filtered back-projection (FBP), 50% ASiR and MBIR algorithms and compared. The CT value, image noise and contrast-to-noise ratios (CNRs) of the reconstructed abdominal images were measured. Volumetric CT dose indexes (CTDIvol) were recorded.
At different tube currents, 50% ASiR and MBIR significantly reduced image noise and increased the CNR when compared with FBP. The minimal tube current values required by FBP, 50% ASiR, and MBIR to achieve acceptable image quality using this phantom were 200, 140, and 80 mA, respectively. At the identical image quality, 50% ASiR and MBIR reduced the radiation dose by 35.9% and 59.9% respectively when compared with FBP.
Advanced iterative reconstruction techniques are able to reduce image noise and increase image CNRs. Compared with FBP, 50% ASiR and MBIR reduced radiation doses by 35.9% and 59.9%, respectively.
本研究旨在探讨自适应统计迭代重建（ASiR）和基于模型的迭代重建（MBIR）算法在降低腹部成像计算机断层扫描（CT）辐射剂量方面的效果。
在标准男性体模上以不同管电流进行CT扫描。对不同管电流下的图像分别采用滤波反投影（FBP）、50% ASiR和MBIR算法进行重建并比较。测量重建后腹部图像的CT值、图像噪声和对比噪声比（CNR）。记录容积CT剂量指数（CTDIvol）。
在不同管电流下，与FBP相比，50% ASiR和MBIR显著降低了图像噪声并提高了CNR。使用该体模时，FBP、50% ASiR和MBIR达到可接受图像质量所需的最小管电流值分别为200、140和80 mA。在相同图像质量下，与FBP相比，50% ASiR和MBIR分别降低了35.9%和59.9%的辐射剂量。
先进的迭代重建技术能够降低图像噪声并提高图像CNR。与FBP相比，50% ASiR和MBIR分别降低了35.9%和59.9%的辐射剂量。
