分子影像学杂志2025，Vol.48Issue(9)：1121-1125,5.DOI:10.12122/j.issn.1674-4500.2025.09.10
基于模型的迭代重建技术在优化常规剂量腹部CT图像中的价值
The value of iterative model-based reconstruction techniques in optimising routine dose abdominal CT images
摘要
Abstract
Objective To compare the differences in image quality between adaptive statistical iterative reconstruction(ASiR)and model-based iterative reconstruction(MBIR)techniques in routine-dose abdominal thin-slice CT scanning.Methods Twenty patients admitted to the Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine from June to September 2024 who underwent CT scanning of the upper abdomen were selected to undergo conventional dose CT scanning of the abdomen using a GE Discovery CT 750HD,and the images were reconstructed with filtered back-projection reconstruction(FBP)and iterative reconstruction techniques after data acquisition,respectively,and the thickness of the reconstructed layer was set at 0.625 mm.The images were analysed and evaluated for parallel quality with the help of a post-processing platform.The images were analysed with the help of a post-processing platform for parallel quality evaluation,focusing on measuring and comparing the noise value(SD),contrast-to-noise ratio(CNR)and signal-to-noise ratio(SNR)of the liver,spleen and muscle in each reconstruction mode.The reconstructed images were subjectively judged by two senior radiologists in a double-blind manner.Results Focusing on the liver,the liver noise of FBP,40%ASiR and VEO3.0-NR40 reconstructed images were 23.45±3.34,16.93±2.53,5.72±1.02,respectively,and the noise of the 40%ASiR and VEO3.0-NR40 reconstructed images were reduced by 27.8%and 75.6%,respectively,compared with that of FBP(P<0.001);CNR of the liver in the 3 groups of images was 9.25±1.86,12.54±2.52,32.83±4.61,and SNR was 3.82±0.77,5.13±0.95,13.48±2.34,respectively.The CNR of the reconstructed images with 40%ASiR and VEO3.0-NR40 increased by 35.6%and 255.0%respectively compared with the FBP group,and the SNR increased by 34.3%and 252.9%respectively(P<0.001).The subjective scores of the images in the 3 groups were 2.90±0.31,3.77±0.43,4.83±0.38,respectively.Conclusion At equivalent doses,40%ASiR and VEO 3.0-NR40 effectively reduce noise in abdominal CT images,thereby enhancing image quality,outperforming the conventional FBP reconstruction algorithm.Among these,the VEO3.0-NR40 reconstruction algorithm demonstrated exceptional performance,significantly optimizing image details and reducing noise interference.关键词
滤波反投影法/自适应统计迭代重建/基于模型迭代重建/图像噪声Key words
filtered back projection/adaptive statistical iterative reconstruction/model-based iterative reconstruction/image noise引用本文复制引用
苏业明,张鑫桐,张留洋,杨创勃..基于模型的迭代重建技术在优化常规剂量腹部CT图像中的价值[J].分子影像学杂志,2025,48(9):1121-1125,5.基金项目
陕西中医药大学国家基金面上培育项目(2020GP10) （2020GP10）
