Application of Deep Learning Reconstruction Algorithm in Low Dose Temporal Bone CT
WANG Tianjiao1, CHEN Yu1, WANG Yun1, WANG Xiao1, WANG Man1, XU Yinghao2,
MA Zhuangfei2, FU Haihong1, JIN Zhengyu1
1. Department of Radiology, Peking Union Medical College Hospital, Beijing 100730, China;
2. Canon Medical System (China) Co., Ltd., Beijing 100015, China
Abstract：Objective To explore the application value of deep learning reconstruction (DLR) algorithm in low dose (LD) temporal
bone CT to improve image quality. Methods Ninety-eight patients who underwent temporal bone CT in Peking Union Medical
College Hospital from May to September 2021 were prospectively collected. These patients were randomly divided into routine dose
(RD) group and low dose (LD) group, with 49 patients in each group. The RD group was reconstructed by filter back projection (FBP)
algorithm, while the LD group was reconstructed by FBP and DLR algorithms respectively, and they were denoted as RD-FBP, LDFBP
and LD-DLR respectively. Objective image quality analysis was performed by measuring the CT values and image SD values
of the four target structures and calculating the signal to noise ratio (SNR). Subjective image quality analysis was performed by
scoring sixteen middle and inner ear anatomical structures. Results CT values of RD-FBP, LD-FBP and LD-DLR images showed no
statistical difference (all P>0.05). The SD value of RD-FBP was significantly lower than that of LD-FBP, and the SD value of LDDLR
was significantly lower than that of RD-FBP. The SNR of RD-FBP was significantly higher than that of LD-FBP, and SNR of
LD-DLR was significantly higher than that of RD-FBP. The image score of RD-FBP and LD-DLR were significantly higher than
those of LD-FBP (both P<0.001), however, there was no significant difference between LD-DLR and RD-FBP (P>0.05). Conclusion
DLR technology can reduce the radiation dose of temporal bone CT and improve the image quality to satisfy clinical diagnosis.
王天娇1，陈钰1，王沄1，王晓1，王曼1，许英浩2，马壮飞2，付海鸿1，金征宇1. 深度学习重建算法在颞骨低剂量CT检查中的应用研究[J]. 中国医疗设备, 2023, 38(1): 93-97.
WANG Tianjiao1, CHEN Yu1, WANG Yun1, WANG Xiao1, WANG Man1, XU Yinghao2,
MA Zhuangfei2, FU Haihong1, JIN Zhengyu1. Application of Deep Learning Reconstruction Algorithm in Low Dose Temporal Bone CT. China Medical Devices, 2023, 38(1): 93-97.
