Accelerated 3D whole-heart non-contrast-enhanced mDIXON coronary MR angiography using deep learning-constrained compressed sensing reconstruction

IF 4.1 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Insights into Imaging Pub Date : 2024-09-19 DOI:10.1186/s13244-024-01797-3

Xi Wu, Xun Yue, Pengfei Peng, Xianzheng Tan, Feng Huang, Lei Cai, Lei Li, Shuai He, Xiaoyong Zhang, Peng Liu, Jiayu Sun

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引用次数: 0

Abstract

To investigate the feasibility of a deep learning-constrained compressed sensing (DL-CS) method in non-contrast-enhanced modified DIXON (mDIXON) coronary magnetic resonance angiography (MRA) and compare its diagnostic accuracy using coronary CT angiography (CCTA) as a reference standard. Ninety-nine participants were prospectively recruited for this study. Thirty healthy subjects (age range: 20–65 years; 50% female) underwent three non-contrast mDIXON-based coronary MRA sequences including DL-CS, CS, and conventional sequences. The three groups were compared based on the scan time, subjective image quality score, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). The remaining 69 patients suspected of coronary artery disease (CAD) (age range: 39–83 years; 51% female) underwent the DL-CS coronary MRA and its diagnostic performance was compared with that of CCTA. The scan time for the DL-CS and CS sequences was notably shorter than that of the conventional sequence (9.6 ± 3.1 min vs 10.0 ± 3.4 min vs 13.0 ± 4.9 min; p < 0.001). The DL-CS sequence obtained the highest image quality score, mean SNR, and CNR compared to CS and conventional methods (all p < 0.001). Compared to CCTA, the accuracy, sensitivity, and specificity of DL-CS mDIXON coronary MRA per patient were 84.1%, 92.0%, and 79.5%; those per vessel were 90.3%, 82.6%, and 92.5%; and those per segment were 98.0%, 85.1%, and 98.0%, respectively. The DL-CS mDIXON coronary MRA provided superior image quality and short scan time for visualizing coronary arteries in healthy individuals and demonstrated high diagnostic value compared to CCTA in CAD patients. DL-CS resulted in improved image quality with an acceptable scan time, and demonstrated excellent diagnostic performance compared to CCTA, which could be an alternative to enhance the workflow of coronary MRA.

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利用深度学习约束压缩传感重建技术加速三维全心非对比度增强型 mDIXON 冠状动脉磁共振血管造影术

目的：研究深度学习约束压缩传感（DL-CS）方法在非对比度增强改良 DIXON（mDIXON）冠状动脉磁共振血管造影（MRA）中的可行性，并以冠状动脉 CT 血管造影（CCTA）为参考标准比较其诊断准确性。本研究前瞻性地招募了 99 名参与者。30 名健康受试者（年龄范围：20-65 岁；50% 为女性）接受了三种基于 mDIXON 的非对比度冠状动脉 MRA 序列检查，包括 DL-CS、CS 和传统序列。根据扫描时间、主观图像质量评分、信噪比（SNR）和对比度-噪声比（CNR）对三组进行比较。其余 69 名疑似冠状动脉疾病（CAD）患者（年龄范围：39-83 岁；51% 为女性）接受了 DL-CS 冠状动脉 MRA 扫描，并将其诊断性能与 CCTA 进行了比较。DL-CS 和 CS 序列的扫描时间明显短于传统序列（9.6 ± 3.1 分钟 vs 10.0 ± 3.4 分钟 vs 13.0 ± 4.9 分钟；P < 0.001）。与 CS 和传统方法相比，DL-CS 序列获得了最高的图像质量评分、平均 SNR 和 CNR（均 p <0.001）。与 CCTA 相比，DL-CS mDIXON 冠状动脉 MRA 对每位患者的准确性、敏感性和特异性分别为 84.1%、92.0% 和 79.5%；对每条血管的准确性、敏感性和特异性分别为 90.3%、82.6% 和 92.5%；对每个节段的准确性、敏感性和特异性分别为 98.0%、85.1% 和 98.0%。DL-CS mDIXON 冠状动脉 MRA 在观察健康人的冠状动脉方面提供了卓越的图像质量和较短的扫描时间，与 CAD 患者的 CCTA 相比具有较高的诊断价值。与 CCTA 相比，DL-CS 在可接受的扫描时间内提高了图像质量，并显示出卓越的诊断性能，可作为增强冠状动脉 MRA 工作流程的替代方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Insights into Imaging Medicine-Radiology, Nuclear Medicine and Imaging

CiteScore

7.30

自引率

4.30%

发文量

182

审稿时长

13 weeks

期刊介绍： Insights into Imaging (I³) is a peer-reviewed open access journal published under the brand SpringerOpen. All content published in the journal is freely available online to anyone, anywhere! I³ continuously updates scientific knowledge and progress in best-practice standards in radiology through the publication of original articles and state-of-the-art reviews and opinions, along with recommendations and statements from the leading radiological societies in Europe. Founded by the European Society of Radiology (ESR), I³ creates a platform for educational material, guidelines and recommendations, and a forum for topics of controversy. A balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes I³ an indispensable source for current information in this field. I³ is owned by the ESR, however authors retain copyright to their article according to the Creative Commons Attribution License (see Copyright and License Agreement). All articles can be read, redistributed and reused for free, as long as the author of the original work is cited properly. The open access fees (article-processing charges) for this journal are kindly sponsored by ESR for all Members. The journal went open access in 2012, which means that all articles published since then are freely available online.