Deep learning image reconstruction for low-kiloelectron volt virtual monoenergetic images in abdominal dual-energy CT: medium strength provides higher lesion conspicuity
机构：[1]Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.[2]Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.[3]Computed Tomography Research Center, GE Healthcare, Beijing, PR China.[4]Computed Tomography Research Center, GE Healthcare, Shanghai, PR China.[5]Department of Materials, Imperial College London, London, UK.
The best settings of deep learning image reconstruction (DLIR) algorithm for abdominal low-kiloelectron volt (keV) virtual monoenergetic imaging (VMI) have not been determined.To determine the optimal settings of the DLIR algorithm for abdominal low-keV VMI.The portal-venous phase computed tomography (CT) scans of 109 participants with 152 lesions were reconstructed into four image series: VMI at 50 keV using adaptive statistical iterative reconstruction (Asir-V) at 50% blending (AV-50); and VMI at 40 keV using AV-50 and DLIR at medium (DLIR-M) and high strength (DLIR-H). The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of nine anatomical sites were calculated. Noise power spectrum (NPS) using homogenous region of liver, and edge rise slope (ERS) at five edges were measured. Five radiologists rated image quality and diagnostic acceptability, and evaluated the lesion conspicuity.The SNR and CNR values, and noise and noise peak in NPS measurements, were significantly lower in DLIR images than AV-50 images in all anatomical sites (all P < 0.001). The ERS values were significantly higher in 40-keV images than 50-keV images at all edges (all P < 0.001). The differences of the peak and average spatial frequency among the four reconstruction algorithms were significant but relatively small. The 40-keV images were rated higher with DLIR-M than DLIR-H for diagnostic acceptance (P < 0.001) and lesion conspicuity (P = 0.010).DLIR provides lower noise, higher sharpness, and more natural texture to allow 40 keV to be a new standard for routine VMI reconstruction for the abdomen and DLIR-M gains higher diagnostic acceptance and lesion conspicuity rating than DLIR-H.
基金：
This study has
received funding from the National Natural Science Foundation of
China (grant numbers 82302183, 82271934), Yangfan Project of
Science and Technology Commission of Shanghai Municipality
(grant number 22YF1442400), Research Found of Health
Commission of Changing District, Shanghai Municipality (grant
number 2023QN01), Laboratory Open Fund of Key Technology
and Materials in Minimally Invasive Spine Surgery (grant numbers
2024JZWC-ZDA03, 2024JZWC-YBA07), and Research Fund of
Tongren Hospital, Shanghai Jiao Tong University School of
Medicine (grant numbers TRKYRC-XX202204, TRGG202101,
TRYJ2021JC06, TRYXJH18, TRYXJH28).
第一作者机构：[1]Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
共同第一作者：
通讯作者：
通讯机构：[1]Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.[*1]Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, PR China.
推荐引用方式(GB/T 7714)：
Zhong Jingyu,Hu Yangfan,Xing Yue,et al.Deep learning image reconstruction for low-kiloelectron volt virtual monoenergetic images in abdominal dual-energy CT: medium strength provides higher lesion conspicuity[J].Acta Radiologica (Stockholm, Sweden : 1987).2024,65(9):1133-1146.doi:10.1177/02841851241262765.
APA：
Zhong Jingyu,Hu Yangfan,Xing Yue,Wang Lingyun,Li Jianying...&Yao Weiwu.(2024).Deep learning image reconstruction for low-kiloelectron volt virtual monoenergetic images in abdominal dual-energy CT: medium strength provides higher lesion conspicuity.Acta Radiologica (Stockholm, Sweden : 1987),65,(9)
MLA：
Zhong Jingyu,et al."Deep learning image reconstruction for low-kiloelectron volt virtual monoenergetic images in abdominal dual-energy CT: medium strength provides higher lesion conspicuity".Acta Radiologica (Stockholm, Sweden : 1987) 65..9(2024):1133-1146
