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DR-BUDDI (Diffeomorphic Registration for Blip-Up blip-Down Diffusion Imaging) method for correcting echo planar imaging distortions

机译:DR-BUDDI(用于向上倾斜向下扩散成像的微形配准)方法,用于校正回波平面成像失真

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We propose an echo planar imaging (EPI) distortion correction method (DR-BUDDI), specialized for diffusion MRI, which uses data acquired twice with reversed phase encoding directions, often referred to as blip-up blip-down acquisitions. DR-BUDDI can incorporate information from an undistorted structural MRI and also use diffusion-weighted images (DWI) to guide the registration, improving the quality of the registration in the presence of large deformations and in white matter regions. DR-BUDDI does not require the transformations for correcting blip-up and blip-down images to be the exact inverse of each other. Imposing the theoretical "blip-up blipdown distortion symmetry" may not be appropriate in the presence of common clinical scanning artifacts such as motion, ghosting, Gibbs ringing, vibrations, and low signal-to-noise. The performance of DR-BUDDI is evaluated with several data sets and compared to other existing blip-up blip-down correction approaches. The proposed method is robust and generally outperforms existing approaches. The inclusion of the DWIs in the correction process proves to be important to obtain a reliable correction of distortions in the brain stem. Methods that do not use DWIs may produce a visually appealing correction of the non-diffusion weighted images, but the directionally encoded color maps computed from the tensor reveal an abnormal anatomy of the white matter pathways. (C) 2014 Elsevier Inc. All rights reserved.
机译:我们提出了一种专门用于扩散MRI的回波平面成像(EPI)失真校正方法(DR-BUDDI),该方法使用通过反相编码方向两次采集的数据,通常被称为blip-up blip-down采集。 DR-BUDDI可以合并来自未失真结构MRI的信息,还可以使用扩散加权图像(DWI)来指导配准,从而在存在大变形和存在白质区域的情况下提高配准的质量。 DR-BUDDI不需要将上下翻转图像校正为彼此完全相反的变换。在存在常见的临床扫描伪像(例如运动,重影,吉布斯振铃,振动和低信噪比)的情况下,强加理论上的“ blip-up bdowndown失真对称性”可能不合适。 DR-BUDDI的性能通过几个数据集进行评估,并与其他现有的blip-up blip-down校正方法进行了比较。所提出的方法是鲁棒的,并且通常优于现有方法。事实证明,将DWI包含在校正过程中对于获得可靠的脑干畸变校正非常重要。不使用DWI的方法可能会对非扩散加权图像产生视觉吸引力的校正,但是从张量计算出的定向编码颜色图揭示了白质途径的异常解剖结构。 (C)2014 Elsevier Inc.保留所有权利。

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