Deep learning image reconstruction for improving image quality of contrast-enhanced dual-energy CT in abdomen

被引:29
|
作者
Sato, Mineka [1 ]
Ichikawa, Yasutaka [1 ]
Domae, Kensuke [1 ]
Yoshikawa, Kazuya [1 ]
Kanii, Yoshinori [1 ]
Yamazaki, Akio [1 ]
Nagasawa, Naoki [1 ]
Nagata, Motonori [1 ]
Ishida, Masaki [1 ]
Sakuma, Hajime [1 ]
机构
[1] Mie Univ Hosp, Dept Radiol, 2-174 Edobashi, Tsu, Mie 5148507, Japan
关键词
Deep learning; Image reconstruction; Computed tomography; ABDOMINAL CT; ANGIOGRAPHY;
D O I
10.1007/s00330-022-08647-0
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
Objectives To evaluate the usefulness of deep learning image reconstruction (DLIR) to improve the image quality of dual-energy computed tomography (DECT) of the abdomen, compared to hybrid iterative reconstruction (IR). Methods This study included 40 patients who underwent contrast-enhanced DECT of the abdomen. Virtual monochromatic 40-, 50-, and 70-keV and iodine density images were reconstructed using three reconstruction algorithms, including hybrid IR (ASiR-V50%) and DLIR (TrueFidelity) at medium- and high-strength level (DLIR-M and DLIR-H, respectively). The standard deviation of attenuation in liver parenchyma was measured as image noise. The contrast-to-noise ratio (CNR) for the portal vein on portal venous phase CT was calculated. The vessel conspicuity and overall image quality were graded on a 5-point scale ranging from 1 (poor) to 5 (excellent). The comparative scale of lesion conspicuity in 47 abdominal solid lesions was evaluated on a 5-point scale ranging from 0 (best) to -4 (markedly inferior). Results The image noise of virtual monochromatic 40-, 50 -, and 70-keV and iodine density images was significantly decreased by DLIR compared to hybrid IR (p < 0.0001). The CNR was significantly higher in DLIR-H and DLIR-M than in hybrid IR (p < 0.0001). The vessel conspicuity and overall image quality scores were also significantly greater in DLIR-H and DLIR-M than in hybrid IR (p < 0.05). The lesion conspicuity scores for DLIR-M and DLIR-H were significantly higher than those for hybrid IR in the virtual monochromatic image of all energy levels (p <= 0.001). Conclusions DLIR improves vessel conspicuity, CNR, and lesion conspicuity of virtual monochromatic and iodine density images in abdominal contrast-enhanced DECT, compared to hybrid IR.
引用
收藏
页码:5499 / 5507
页数:9
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