Gradient-Guided Isotropic MRI Reconstruction from Anisotropic Acquisitions.

Gradient-Guided Isotropic MRI Reconstruction from Anisotropic Acquisitions.
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DOI:
10.1109/tci.2021.3128745
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发表时间:
2021
影响因子:
5.4
通讯作者:
Warfield SK
Warfield SK
中科院分区:
计算机科学2区
文献类型:
--
作者:
Sui Y;Afacan O;Jaimes C;Gholipour A;Warfield SK

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在任何磁共振成像(MRI)协议中,图像分辨率、信噪比(SNR)和扫描时间之间的权衡是不可避免的。超分辨率重建(SRR)已被证明可以有效地减轻这些因素,因此,已成为解决当前MRI局限性的重要方法。在这项工作中,我们开发了一种新的,基于图像的MRI SRR方法的基础上各向异性采集方案,它利用了一种新的梯度引导正则化方法,通过空间梯度估计指导高分辨率(HR)重建。此外,我们设计了一个分析解决方案,传播的空间梯度场从低分辨率(LR)图像的HR图像空间,并利用这些梯度场在多个尺度上的动态更新计划,更准确的边缘定位重建。我们还建立了成像的正演模型和反演它沿着与建议的梯度制导。所提出的SRR方法允许受试者在体积之间运动,并且能够结合各种采集方案,其中LR图像以任意方向和位移采集,例如正交和通过平面原点移位扫描。我们评估了我们提出的方法,模拟数据,以及西门子3T MRI扫描仪上获得的数据,包含45个MRI扫描14个主题。我们的实验结果表明,我们的方法实现了上级重建相比,国家的最先进的方法,无论是在局部空间平滑度和边缘保护方面,同时,在并行,在减少,或在相同的成本与直接HR采集提供扫描。
The trade-off between image resolution, signal-to-noise ratio (SNR), and scan time in any magnetic resonance imaging (MRI) protocol is inevitable and unavoidable. Super-resolution reconstruction (SRR) has been shown effective in mitigating these factors, and thus, has become an important approach in addressing the current limitations of MRI. In this work, we developed a novel, image-based MRI SRR approach based on anisotropic acquisition schemes, which utilizes a new gradient guidance regularization method that guides the high-resolution (HR) reconstruction via a spatial gradient estimate. Further, we designed an analytical solution to propagate the spatial gradient fields from the low-resolution (LR) images to the HR image space and exploited these gradient fields over multiple scales with a dynamic update scheme for more accurate edge localization in the reconstruction. We also established a forward model of image formation and inverted it along with the proposed gradient guidance. The proposed SRR method allows subject motion between volumes and is able to incorporate various acquisition schemes where the LR images are acquired with arbitrary orientations and displacements, such as orthogonal and through-plane origin-shifted scans. We assessed our proposed approach on simulated data as well as on the data acquired on a Siemens 3T MRI scanner containing 45 MRI scans from 14 subjects. Our experimental results demonstrate that our approach achieved superior reconstructions compared to state-of-the-art methods, both in terms of local spatial smoothness and edge preservation, while, in parallel, at reduced, or at the same cost as scans delivered with direct HR acquisition.
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