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首页> 外文期刊>Applied Magnetic Resonance >Anisotropic phantoms for quantitative diffusion tensor imaging and fiber-tracking validation
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Anisotropic phantoms for quantitative diffusion tensor imaging and fiber-tracking validation

机译：各向异性体模用于定量扩散张量成像和纤维跟踪验证

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摘要

Different fiber materials (hemp, linen, viscose rayon, polyamide and dyneema twine) were tested for their suitability as fiber phantoms for diffusion tensor imaging (DTI) calibration on clinical magnetic resonance imaging systems with common diffusion-weighted echo planar imaging sequences. Additionally, the potential for fiber tracking validation of these fiber phantoms was investigated. For phantom manufacturing the fibers were wound up into a bundle of parallel fibers enwrapped by plastic ribbon. The most homogenously distributed fractional anisotropy (FA) values (0.63 +/- 0.10) were determined in the dyneema and polyamide (0.3 +/- 0.1) fiber phantom. FA values in the viscose, linen and hemp bundles were at high variations (about 0.2 +/- 0.10). The dispersion of the direction of the principal eigenvector in the polyamide and dyneema phantom was less than 7 degrees, for the other fiber phantoms it was over 30 degrees. Thus, the presented results may indicate that polyamide- and dyneema-based fiber phantoms provide the opportunity for verification and validation of DTI sequences on clinical scanner. Additionally, they can be applicable for testing the accuracy of fiber tracking algorithms. A strong parallel alignment of the fibers with a constant compression grade of the fiber bundles could be achieved by machine-made production. This could also provide highly reproducible diffusion properties within the anisotropic fiber phantoms.
机译：测试了不同的纤维材料（麻，亚麻，粘胶人造丝，聚酰胺和迪尼玛麻绳）作为纤维模型的适用性，用于在具有普通扩散加权回波平面成像序列的临床磁共振成像系统上对扩散张量成像（DTI）进行校准。此外，研究了对这些光纤体模进行光纤跟踪验证的潜力。为了进行幻影制造，将纤维缠绕成一束由塑料带包裹的平行纤维。在迪尼玛纤维和聚酰胺（0.3 +/- 0.1）纤维模型中确定了分布最均匀的分数各向异性（FA）值（0.63 +/- 0.10）。粘胶纤维，亚麻纤维和大麻纤维束中的FA值变化很大（约0.2 +/- 0.10）。主特征向量方向在聚酰胺和迪尼玛模型中的离散度小于7度，对于其他纤维模型则超过30度。因此，提出的结果可能表明基于聚酰胺和迪尼玛的纤维模型为临床扫描仪上DTI序列的验证和确认提供了机会。此外，它们可用于测试光纤跟踪算法的准确性。通过机器制造可以实现具有恒定压缩等级的纤维束的强力平行排列的纤维。这也可以在各向异性纤维模型内提供高度可再现的扩散特性。

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