Feasibility of accelerated whole-body diffusion-weighted imaging using a deep learning-based noise-reduction technique in patients with prostate cancer

被引:15
作者
Tajima, Taku [1 ,2 ]
Akai, Hiroyuki [2 ,3 ]
Sugawara, Haruto [3 ]
Furuta, Toshihiro [3 ]
Yasaka, Koichiro [2 ,4 ]
Kunimatsu, Akira [1 ]
Yoshioka, Naoki [2 ]
Akahane, Masaaki [2 ]
Abe, Osamu [4 ]
Ohtomo, Kuni [5 ]
Kiryu, Shigeru [2 ]
机构
[1] Int Univ Hlth, Welf Mita Hosp, Dept Radiol, 1-4-3 Mita, Minato, Tokyo 1088329, Japan
[2] Int Univ Hlth, Welf Narita Hosp, Dept Radiol, 852 Hatakeda Narita, Chiba 2860124, Japan
[3] Univ Tokyo, Inst Med Sci, Dept Radiol, 4-6-1 Shirokanedai, Minato, Tokyo 1088639, Japan
[4] Univ Tokyo, Grad Sch Med, Dept Radiol, 7-3-1 Hongo, Bunkyo, Tokyo 1130033, Japan
[5] Int Univ Hlth & Welf, 2600-1 kitakanamaru, Otawara, Tochigi 3248501, Japan
关键词
Deeplearning; Denoise; Whole-bodyMRI; DWIBS; FastMRI; Prostatecancer;
D O I
10.1016/j.mri.2022.06.014
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: To assess the possibility of reducing the image acquisition time for diffusion-weighted whole-body imaging with background body signal suppression (DWIBS) by denoising with deep learning-based reconstruc-tion (dDLR). Methods: Seventeen patients with prostate cancer who underwent DWIBS by 1.5 T magnetic resonance imaging with a number of excitations of 2 (NEX2) and 8 (NEX8) were prospectively enrolled. The NEX2 image data were processed by dDLR (dDLR-NEX2), and the NEX2, dDLR-NEX2, and NEX8 image data were analyzed. In quali-tative analysis, two radiologists rated the perceived coarseness, conspicuity of metastatic lesions (lymph nodes and bone), and overall image quality. The contrast-to-noise ratios (CNRs), contrast ratios, and mean apparent diffusion coefficients (ADCs) of metastatic lesions were calculated in a quantitative analysis. Results: The image acquisition time of NEX2 was 2.8 times shorter than that of NEX8 (3 min 30 s vs 9 min 48 s). The perceived coarseness and overall image quality scores reported by both readers were significantly higher for dDLR-NEX2 than for NEX2 (P = 0.005-0.040). There was no significant difference between dDLR-NEX2 and NEX8 in the qualitative analysis. The CNR of bone metastasis was significantly greater for dDLR-NEX2 than for NEX2 and NEX8 (P = 0.012 for both comparisons). The contrast ratios and mean ADCs were not significantly different among the three image types. Conclusions: dDLR improved the image quality of DWIBS with NEX2. In the context of lymph node and bone metastasis evaluation with DWIBS in patients with prostate cancer, dDLR-NEX2 has potential to be an alternative to NEX8 and reduce the image acquisition time.
引用
收藏
页码:169 / 179
页数:11
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