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胎儿心脏磁共振超分辨率电影图像增强。

Super-Resolution Cine Image Enhancement for Fetal Cardiac Magnetic Resonance Imaging.

机构信息

Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden.

Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden.

出版信息

J Magn Reson Imaging. 2022 Jul;56(1):223-231. doi: 10.1002/jmri.27956. Epub 2021 Oct 15.

Abstract

BACKGROUND

Fetal cardiac magnetic resonance imaging (MRI) improves the diagnosis of congenital heart defects, but is sensitive to fetal motion due to long image acquisition time. This may be overcome with faster image acquisition with low resolution, followed by image enhancement to provide clinically useful images.

PURPOSE

To combine phase-encoding undersampling with super-resolution neural networks to achieve high-resolution fetal cine cardiac MR images with short acquisition time.

STUDY TYPE

Prospective.

SUBJECTS

Twenty-eight fetuses (gestational week 36 [interquartile range 33-38 weeks]).

FIELD STRENGTH/SEQUENCE: 1.5 T, balanced steady-state free precession (bSSFP) cine sequence.

ASSESSMENT

Images were acquired using fully sampled Doppler ultrasound-gated clinical bSSFP cine as reference, with equivalent cine sequences with decreased phase-encoding resolution (25%, 33%, and 50% of clinical standard). Two super-resolution methods based on convolutional neural networks were proposed and evaluated (phasrGAN and phasrresnet). Data were partitioned into training (36 cine slices), validation (3 cine slices), and test sets (67 cine slices) without overlap. Conventional reconstruction methods using bicubic interpolation and k-space zeropadding were used for comparison. Three blinded observers scored image quality between 1 and 10.

STATISTICAL TESTS

Image scores are reported as median [interquartile range] and were compared using Mann-Whitney's nonparametric test with P < 0.05 showing statistically significant differences.

RESULTS

Both proposed methods showed no significant difference in image quality compared to clinical images (8 [7-8.5]) down to 33% (phasrGAN 8 [6.5-8]; phasrresnet 8 [7-8], all P ≥ 0.19) phase-encoding resolution, i.e., up to three times faster image acquisition, whereas bicubic interpolation and k-space zeropadding showed significantly lower quality for 33% phase-encoding resolution (both 7 [6-8]).

DATA CONCLUSION

Super-resolution enhancement can be used for fetal cine cardiac MRI to reduce image acquisition time while maintaining image quality. This may lead to an improved success rate for fetal cine MR imaging, as the impact of fetal motion is lessened by shortened acquisitions.

LEVEL OF EVIDENCE

1 TECHNICAL EFFICACY: Stage 2.

摘要

背景

胎儿心脏磁共振成像(MRI)可提高先天性心脏病的诊断准确率,但由于采集时间较长,成像容易受到胎儿运动的影响。通过使用低分辨率的快速图像采集,然后进行图像增强,可以获得有临床应用价值的图像,从而克服这一问题。

目的

结合相位编码欠采样和超分辨率神经网络,实现短采集时间的高分辨率胎儿电影心脏 MRI 图像。

研究类型

前瞻性。

受试者

28 例胎儿(妊娠 36 周[四分位间距 33-38 周])。

磁场强度/序列:1.5T,平衡稳态自由进动(bSSFP)电影序列。

评估

使用完全采样的超声门控临床 bSSFP 电影序列作为参考,采集具有相同帧率的相位编码分辨率降低的等效电影序列(临床标准的 25%、33%和 50%)。提出并评估了两种基于卷积神经网络的超分辨率方法(phasrGAN 和 phasrresnet)。数据分为训练集(36 个电影切片)、验证集(3 个电影切片)和测试集(67 个电影切片),且没有重叠。使用双三次插值和 k 空间零填充的常规重建方法进行比较。三位盲法观察者对图像质量进行 1-10 分的评分。

统计学检验

图像评分以中位数[四分位间距]表示,采用非参数 Mann-Whitney 检验进行比较,P<0.05 表示具有统计学意义的差异。

结果

与临床图像(8 [7-8.5])相比,两种方法在 33%的相位编码分辨率(phasrGAN 8 [6.5-8];phasrresnet 8 [7-8],所有 P 值均≥0.19)下的图像质量均无显著差异,即采集速度可提高至原来的三倍,而双三次插值和 k 空间零填充在 33%的相位编码分辨率下的图像质量明显较低(均为 7 [6-8])。

数据结论

超分辨率增强可用于胎儿电影心脏 MRI,在保持图像质量的同时减少图像采集时间。这可能会提高胎儿电影 MRI 的成功率,因为缩短采集时间可以减轻胎儿运动的影响。

证据水平

1 技术功效:2 级。

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