躯干四维磁共振自监督运动校正图像重建网络

IF 3.2 Q1 Computer Science
T. Küstner, Jiazhen Pan, Christopher Gilliam, H. Qi, G. Cruz, K. Hammernik, T. Blu, D. Rueckert, René M. Botnar, C. Prieto, S. Gatidis
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引用次数: 4

摘要

如果患者不能屏住呼吸或触发采集不实用,呼吸运动可能会导致躯干磁共振成像中的伪影。回顾修正策略通常通过快速成像序列在自由运动条件下处理运动,然后根据运动轨迹进行运动合并。这些采集产生亚奈奎斯特采样和运动分辨率的k空间数据。运动状态通过非刚性变形场相互连接。通常,运动配准是在图像空间中制定的,但这可能会受到混叠工件或低分辨率图像的估计的影响。随后,任何运动校正重建都可能受到变形场误差的影响。在这项工作中,我们提出了一种基于深度学习的运动校正4D (3D空间+时间)图像重建方法,该方法结合了非刚性配准网络和4D重建网络。在k空间中估计非刚体运动,并将其纳入重构网络。该方法在疑似肝或肺转移患者和健康受试者的体内4D运动分辨磁共振图像上进行了评估。该方法提供了四维运动校正图像和变形场。它能够实现约14倍的加速采集,重建速度比同类方法快25倍,同时保持不断变化的患者和运动模式的图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-Supervised Motion-Corrected Image Reconstruction Network for 4D Magnetic Resonance Imaging of the Body Trunk
Respiratory motion can cause artifacts in magnetic resonance imaging of the body trunk if patients cannot hold their breath or triggered acquisitions are not practical. Retrospective correction strategies usually cope with motion by fast imaging sequences under free-movement conditions followed by motion binning based on motion traces. These acquisitions yield sub-Nyquist sampled and motion-resolved k-space data. Motion states are linked to each other by non-rigid deformation fields. Usually, motion registration is formulated in image space which can however be impaired by aliasing artifacts or by estimation from low-resolution images. Subsequently, any motion-corrected reconstruction can be biased by errors in the deformation fields. In this work, we propose a deep-learning based motion-corrected 4D (3D spatial + time) image reconstruction which combines a non-rigid registration network and a 4D reconstruction network. Non-rigid motion is estimated in k-space and incorporated into the reconstruction network. The proposed method is evaluated on in-vivo 4D motion-resolved magnetic resonance images of patients with suspected liver or lung metastases and healthy subjects. The proposed approach provides 4D motion-corrected images and deformation fields. It enables a ∼ 14 × accelerated acquisition with a 25-fold faster reconstruction than comparable approaches under consistent preservation of image quality for changing patients and motion patterns.
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来源期刊
APSIPA Transactions on Signal and Information Processing
APSIPA Transactions on Signal and Information Processing ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
8.60
自引率
6.20%
发文量
30
审稿时长
40 weeks
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