Compressed sensing with deep learning reconstruction: Improving capability of gadolinium-EOB-enhanced 3D T1WI

被引：1

作者：

Nagata, Hiroyuki ^{[1
]}

Ohno, Yoshiharu ^{[1
,2
]}

Yoshikawa, Takeshi ^{[2
,3
,4
]}

Yamamoto, Kaori ^{[5
]}

Shinohara, Maiko ^{[5
]}

Ikedo, Masato ^{[5
]}

Yui, Masao ^{[5
]}

Matsuyama, Takahiro ^{[3
]}

Takahashi, Tomoki ^{[3
]}

Bando, Shuji ^{[3
]}

Furuta, Minami ^{[3
]}

Ueda, Takahiro ^{[2
]}

Ozawa, Yoshiyuki ^{[2
]}

Toyama, Hiroshi ^{[3
]}

机构：

[1] Fujita Hlth Univ, Sch Med, Joint Res Lab Adv Med Imaging, Toyoake, Aichi 4701192, Japan

[2] Fujita Hlth Univ, Sch Med, Dept Diagnost Radiol, 1-98 Dengakugakubo,Kutsukake Cho, Toyoake, Aichi 4701192, Japan

[3] Fujita Hlth Univ, Sch Med, Dept Radiol, Toyoake, Aichi 4701192, Japan

[4] Hyogo Canc Ctr, Dept Diagnost Radiol, Akashi, Hyogo 6730021, Japan

[5] Canon Med Syst Corp, Otawara, Tochigi 3248550, Japan

来源：

MAGNETIC RESONANCE IMAGING | 2024年 / 108卷

关键词：

Liver; MRI; Compressed sensing; Deep learning reconstruction; Contrast media; COMPUTER-AIDED DETECTION; CLINICAL-EVALUATION; LUNG NODULES; OBSERVER; MRI; SAFETY; LIVER; DTPA;

D O I：

10.1016/j.mri.2024.01.015

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: The purpose of this study was to determine the utility of compressed sensing (CS) with deep learning reconstruction (DLR) for improving spatial resolution, image quality and focal liver lesion detection on highresolution contrast-enhanced T1-weighted imaging (HR-CE-T1WI) obtained by CS with DLR as compared with conventional CE-T1WI with parallel imaging (PI). Methods: Seventy-seven participants with focal liver lesions underwent conventional CE-T1WI with PI and HRCE-T1WI, surgical resection, transarterial chemoembolization, and radiofrequency ablation, followed by histopathological or >2-year follow-up examinations in our hospital. Signal-to-noise ratios (SNRs) of liver, spleen and kidney were calculated for each patient, after which each SNR was compared by means of paired t -test. To compare focal lesion detection capabilities of the two methods, a 5-point visual scoring system was adopted for a per lesion basis analysis. Jackknife free-response receiver operating characteristic (JAFROC) analysis was then performed, while sensitivity and false positive rates (/data set) for consensus assessment of the two methods were also compared by using McNemar's test or the signed rank test. Results: Each SNR of HR-CE-T1WI was significantly higher than that of conventional CE-T1WI with PI (p < 0.05). Sensitivities for consensus assessment showed that HR-CE-MRI had significantly higher sensitivity than conventional CE-T1WI with PI (p = 0.004). Moreover, there were significantly fewer FP/cases for HR-CE-T1WI than for conventional CE-T1WI with PI (p = 0.04). Conclusion: CS with DLR are useful for improving spatial resolution, image quality and focal liver lesion detection capability of Gd-EOB-DTPA enhanced 3D T1WI without any need for longer breath-holding time.

引用

页码：67 / 76

页数：10

共 39 条

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