Data Assimilation for Full 4D PC‐MRI Measurements: Physics‐Based Denoising and Interpolation,Computer Graphics Forum

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Data Assimilation for Full 4D PC‐MRI Measurements: Physics‐Based Denoising and Interpolation
Computer Graphics Forum ( IF 2.7 ) Pub Date : 2020-08-13 , DOI: 10.1111/cgf.14088
N. H. L. C. de Hoon ₁ , A.C. Jalba ₂ , E.S. Farag ₃ , P. van Ooij ₃ , A.J. Nederveen ₃ , E. Eisemann ₁ , A. Vilanova _{1,

2}

Affiliation

Phase‐Contrast Magnetic Resonance Imaging (PC‐MRI) surpasses all other imaging methods in quality and completeness for measuring time‐varying volumetric blood flows and has shown potential to improve both diagnosis and risk assessment of cardiovascular diseases. However, like any measurement of physical phenomena, the data are prone to noise, artefacts and has a limited resolution. Therefore, PC‐MRI data itself do not fulfil physics fluid laws making it difficult to distinguish important flow features. For data analysis, physically plausible and high‐resolution data are required. Computational fluid dynamics provides high‐resolution physically plausible flows. However, the flow is inherently coupled to the underlying anatomy and boundary conditions, which are difficult or sometimes even impossible to adequately model with current techniques. We present a novel methodology using data assimilation techniques for PC‐MRI noise and artefact removal, generating physically plausible flow close to the measured data. It also allows us to increase the spatial and temporal resolution. To avoid sensitivity to the anatomical model, we consider and update the full 3D velocity field. We demonstrate our approach using phantom data with various amounts of induced noise and show that we can improve the data while preserving important flow features, without the need of a highly detailed model of the anatomy.

中文翻译：

全 4D PC-MRI 测量的数据同化：基于物理的去噪和插值

相衬磁共振成像 (PC-MRI) 在测量随时间变化的体积血流量的质量和完整性方面优于所有其他成像方法，并已显示出改善心血管疾病诊断和风险评估的潜力。然而，与任何物理现象的测量一样，数据容易受到噪声、人为因素的影响，并且分辨率有限。因此，PC-MRI 数据本身不符合物理流体定律，因此难以区分重要的流动特征。对于数据分析，需要物理上合理且高分辨率的数据。计算流体动力学提供了高分辨率的物理上合理的流动。然而，流动固有地与底层解剖结构和边界条件耦合，使用当前技术很难或有时甚至不可能充分建模。我们提出了一种使用数据同化技术去除 PC-MRI 噪声和伪影的新方法，产生接近测量数据的物理上合理的流动。它还允许我们提高空间和时间分辨率。为了避免对解剖模型的敏感性，我们考虑并更新完整的 3D 速度场。我们使用具有各种诱导噪声的幻影数据演示了我们的方法，并表明我们可以在保留重要流动特征的同时改进数据，而无需高度详细的解剖模型。我们考虑并更新完整的 3D 速度场。我们使用具有各种诱导噪声的幻影数据演示了我们的方法，并表明我们可以在保留重要流动特征的同时改进数据，而无需高度详细的解剖模型。我们考虑并更新完整的 3D 速度场。我们使用具有各种诱导噪声的幻影数据演示了我们的方法，并表明我们可以在保留重要流动特征的同时改进数据，而无需高度详细的解剖模型。

更新日期：2020-08-13

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