Abstract：Objective To compare the objective and subjective image quality of filtered back projection (FBP), conventional modelbased
iterative reconstruction (MBIRc) and the low-contrast resolution preference algorithm (MBIRNR40) from new version of
model-based iterative reconstruction (MBIRn) at routine dose multidetector computed tomographic (CT) examinations of the upper
abdomen. Methods This institutional reviewed board-approved study including 60 consecutive patients, who underwent routine
dose CT examinations of the upper abdomen. Raw data from patient sets were reconstructed by using FPB, MBIRc and MBIRNR40
with the optimal setting. Measurements of objective noise and CT numbers of the subcutaneous fat, back muscles, liver and spleen
were compared with analysis of variance by using one-way ANOVA test. The image quality was assessed by Wilcoxon. Results The
phantom study determined MBIRNR40 with an improved low-contrast detectability compared with MBIRc or FBP. The mean image
noise (in HU) for MBIRNR40 were significantly lower than those of MBIRc and FBP (all P<0.05). The mean SNR values for MBIRNR40
were significantly higher than those of MBIRc and FBP (all P<0.05). Subjective ratings showed higher image quality for MBIRNR40,
with lower noise, better resolution for details in abdominal structures, and finer contours of lesions (P<0.05), while FBP performed
inferiorly compared with MBIRc (P<0.05). Conclusion The MBIRNR40 from MBIRn algorithm significantly improved the objective
and subjective image quality in routine dose upper abdominal CT scans compared with MBIRc and FBP algorithms, which can be
used to reduce radiation dose.
师卫华，党珊，燕洋洋. 新一代基于模型的迭代重建在提高上腹部CT图像质量中的应用价值[J]. 中国医疗设备, 2018, 33(7): 61-64.
SHI Weihua, DANG Shan, YAN Yangyang. Value of New Model-Based Iterative Reconstruction for Improving Image Quality in
Routine Dose Upper Abdominal CT: A Phantom and Patient Study. China Medical Devices, 2018, 33(7): 61-64.
