The value of iterative model-based reconstruction techniques in optimising routine dose abdominal CT images
SU Yeming
ZHANG Xintong
ZHANG Liuyang
YANG Chuangbo
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.
Keywords：filtered back projectionadaptive statistical iterative reconstructionmodel-based iterative reconstructionimage noise
Publication Date：2025-09-20
Online Publishing Date：2025-10-22(First online date of this platform, not the publication date of the document)
Pages：5( 1121-1125 )