Yoo Yeo Jin, Choi In Young, Yeom Suk Keu, Cha Sang Hoon, Jung Yunsub, Han Hyun Jong, Shim Euddeum
Korea University Ansan Hospital, KR.
Korea University Medical Center, KR.
J Belg Soc Radiol. 2022 Apr 8;106(1):15. doi: 10.5334/jbsr.2638. eCollection 2022.
To compare the image quality of CT obtained using a deep learning-based image reconstruction (DLIR) engine with images with adaptive statistical iterative reconstruction-V (AV).
Using a phantom, the noise power spectrum (NPS) and task-based transfer function (TTF) were measured in images with different reconstructions (filtered back projection [FBP], AV30, 50, 100, DLIR-L, M, H) at multiple doses. One hundred and twenty abdominal CTs with 30% dose reduction were processed using AV30, AV50, DLIR-L, M, H. Objective and subjective analyses were performed.
The NPS peak of DLIR was lower than that of AV30 or AV50. Compared with AV30, the NPS average spatial frequencies were higher with DLIR-L or DLIR-M. For lower contrast objects, TTF in images with DLIR were higher than those with AV. The standard deviation in DLIR-H and DLIR-M was significantly lower than AV30 and AV50. The overall image quality was the best for DLIR-M ().
DLIR showed improved image quality and decreased noise under a decreased radiation dose.
比较使用基于深度学习的图像重建（DLIR）引擎获得的CT图像质量与自适应统计迭代重建-V（AV）图像的质量。
使用体模，在多个剂量下测量不同重建方式（滤波反投影[FBP]、AV30、50、100、DLIR-L、M、H）图像的噪声功率谱（NPS）和基于任务的传递函数（TTF）。对120例腹部CT进行30%剂量降低处理，采用AV30、AV50、DLIR-L、M、H进行处理。进行客观和主观分析。
DLIR的NPS峰值低于AV30或AV50。与AV30相比，DLIR-L或DLIR-M的NPS平均空间频率更高。对于对比度较低的物体，DLIR图像中的TTF高于AV图像。DLIR-H和DLIR-M中的标准差显著低于AV30和AV50。DLIR-M的整体图像质量最佳。
在降低辐射剂量的情况下，DLIR显示出改善的图像质量和降低的噪声。
