Comparison of different acceleration factors of artificial intelligence-compressed sensing for brachial plexus MRI imaging: scanning time and image quality.

IF 2.9 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING BMC Medical Imaging Pub Date : 2024-11-14 DOI:10.1186/s12880-024-01493-0
Tianxin Cheng, Feifei Li, Xuetao Jiang, Dan Yu, Jie Wei, Ying Yuan, Hui Xu
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引用次数: 0

Abstract

Background: 3D brachial plexus MRI scanning is prone to examination failure due to the lengthy scan times, which can lead to patient discomfort and motion artifacts. Our purpose is to investigate the efficacy of artificial intelligence-assisted compressed sensing (ACS) in improving the acceleration efficiency and maintaining or enhancing the image quality of brachial plexus MR imaging.

Methods: A total of 30 volunteers underwent 3D sampling perfection with application-optimized contrast using different flip angle evolution short time inversion recovery using a 3.0T MR scanner. The imaging protocol included parallel imaging (PI) and ACS employing acceleration factors of 4.37, 6.22, and 9.03. Radiologists evaluated the neural detail display, fat suppression effectiveness, presence of image artifacts, and overall image quality. Signal intensity and standard deviation of specific anatomical sites within the brachial plexus and background tissues were measured, with signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) subsequently calculated. Cohen's weighted kappa (κ), One-way ANOVA, Kruskal-Wallis and pairwise comparisons with Bonferroni-adjusted significance level. P < 0.05 was considered statistically significant.

Results: ACS significantly reduced scanning times compared to PI. Evaluations revealed differences in subjective scores and SNR across the sequences (P < 0.05), with no marked differences in CNR (P > 0.05). For subjective scores, ACS 9.03 were lower than the other three sequences in neural details display, image artifacts and overall image quality. There was no significant difference in fat suppression. For objective quantitative evaluation, SNR of right C6 root in ACS 6.22 and ACS 9.03 was higher than that in PI; SNR of left C6 root in ACS 4.37, ACS 6.22 and ACS 9.03 was higher than that in PI; SNR of medial cord in ACS 6.22, ACS 9.03 was higher than that in PI.

Conclusion: Compared with PI, ACS can shorten scanning time while ensuring good image quality.

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人工智能压缩传感用于臂丛磁共振成像的不同加速因子比较:扫描时间和图像质量。
背景:三维臂丛磁共振成像扫描容易因扫描时间过长而导致检查失败,从而引起患者不适和运动伪影。我们的目的是研究人工智能辅助压缩传感(ACS)在提高加速效率、保持或提高臂丛磁共振成像图像质量方面的功效:共有 30 名志愿者使用 3.0T 磁共振扫描仪进行了三维取样完善,并使用不同翻转角进化短时反转恢复进行了应用优化对比。成像方案包括平行成像(PI)和 ACS,加速因子分别为 4.37、6.22 和 9.03。放射科医生对神经细节显示、脂肪抑制效果、图像伪影和整体图像质量进行了评估。测量了臂丛和背景组织内特定解剖部位的信号强度和标准偏差,随后计算了信噪比(SNR)和对比度-信噪比(CNR)。科恩加权卡帕(κ)、单因子方差分析、Kruskal-Wallis 和成对比较,显著性水平经 Bonferroni-adjusted 调整。P 结果:与 PI 相比,ACS 明显缩短了扫描时间。评估显示,不同序列的主观评分和信噪比存在差异(P 0.05)。在主观评分方面,ACS 9.03 在神经细节显示、图像伪影和整体图像质量方面均低于其他三个序列。脂肪抑制方面没有明显差异。在客观定量评价方面,ACS 6.22 和 ACS 9.03 中右侧 C6 根的信噪比高于 PI;ACS 4.37、ACS 6.22 和 ACS 9.03 中左侧 C6 根的信噪比高于 PI;ACS 6.22 和 ACS 9.03 中内侧脊髓的信噪比高于 PI:结论:与 PI 相比,ACS 可缩短扫描时间,同时保证良好的图像质量。
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来源期刊
BMC Medical Imaging
BMC Medical Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
4.60
自引率
3.70%
发文量
198
审稿时长
27 weeks
期刊介绍: BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.
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