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Clinical feasibility of deep learning reconstruction in liver diffusion-weighted imaging: Improvement of image quality and impact on apparent diffusion coefficient value
被引:7
|作者:
Chen, Qian
[1
,2
]
Fang, Shu
[1
]
Yang, Yuchen
[3
]
Li, Ruokun
[1
]
Deng, Rong
[1
]
Chen, Yongjun
[3
]
Ma, Di
[3
]
Lin, Huimin
[1
]
Yan, Fuhua
[1
,4
]
机构:
[1] Shanghai Jiao Tong Univ, Sch Med, Ruijin Hosp, Dept Radiol, 197 Ruijin Er Rd, Shanghai 200025, Peoples R China
[2] Tianjin Med Univ, Natl Clin Res Ctr Canc, Key Lab Canc Prevent & Therapy, Dept Radiol,Canc Inst & Hosp, Huan Hu Xi Rd, Tianjin 300060, Peoples R China
[3] Shanghai Jiao Tong Univ, Sch Med, Ruijin Hosp, Dept Gen Surg, 197 Ruijin Er Rd, Shanghai 200025, Peoples R China
[4] Shanghai Jiao Tong Univ, Coll Hlth Sci & Technol, Sch Med, Shanghai, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Deep learning reconstruction;
Diffusion weighted imaging;
Apparent diffusion coefficient;
NOISE-REDUCTION;
MRI;
ACQUISITION;
ARTIFACTS;
BODY;
D O I:
10.1016/j.ejrad.2023.111149
中图分类号:
R8 [特种医学];
R445 [影像诊断学];
学科分类号:
1002 ;
100207 ;
1009 ;
摘要:
Purpose: Diffusion-weighted imaging (DWI) of the liver suffers from low resolution, noise, and artifacts. This study aimed to investigate the effect of deep learning reconstruction (DLR) on image quality and apparent diffusion coefficient (ADC) quantification of liver DWI at 3 Tesla.Method: In this prospective study, images of the liver obtained at DWI with b-values of 0 (DWI0), 50 (DWI50) and 800 s/mm(2) (DWI800) from consecutive patients with liver lesions from February 2022 to February 2023 were reconstructed with and without DLR (non-DLR). Image quality was assessed qualitatively using Likert scoring system and quantitatively using signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and liver/parenchyma boundary sharpness from region-of-interest (ROI) analysis. ADC value of lesion were measured. Phantom experiment was also performed to investigate the factors that determine the effect of DLR on ADC value. Qualitative score, SNR, CNR, boundary sharpness, and apparent diffusion coefficients (ADCs) for DWI were compared using paired t-test and Wilcoxon signed rank test. P < 0.05 was considered statistically significant.Results: A total of 85 patients with 170 lesions were included. DLR group showed a higher qualitative score than the non-DLR group. for example, with DWI800 the score was 4.77 +/- 0.52 versus 4.30 +/- 0.63 (P < 0.001). DLR group also showed higher SNRs, CNRs and boundary sharpness than the non-DLR group. DLR reduced the ADC of malignant tumors (1.105[0.904, 1.340] versus 1.114[0.904, 1.320]) (P < 0.001), but there was no significant difference in the diagnostic value of malignancy for DLR and non-DLR groups (P = 57.3). The phantom study confirmed a reduction of ADC in images with low resolution, and a stronger reduction of ADC in heterogeneous structures than in homogeneous ones (P < 0.001).Conclusions: DLR improved image quality of liver DWI. DLR reduced the ADC value of lesions, but did not affect the diagnostic performance of ADC in distinguishing malignant tumors on a 3.0-T MRI system.
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页数:9
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