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Fractal analysis of an Advanced Modeled Iterative Reconstruction Algorithm for the evaluation of complex structure

机译:用于复杂结构评估的高级建模迭代重构算法的分形分析

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摘要

Iterative reconstruction (IR) technique can allow a radiation dose reduction without unfavorable objective effects on image quality. Non-linear processing applied to IR may sometimes cause unwanted image appearance by increasing its strength. We examined whether it is possible to subjective evaluation of the IR image using fractal analysis. A bundle of five acryl rods inserted in the center of a circular phantom filled with various concentration of diluted contrast medium was scanned at a various radiation dose (CTDI_(vol) of 1.8 to 14.4 mGy) with different reconstruction algorithms such as FBP and IR with strength 1 to 5 at 120 kV. Images were analyzed to calculate fractal dimension (FD) of the phantom using a box-counting methods for binary images. The FD decreased with increasing radiation dose, IR strength and contrast differences. The FD of FBP images at 100% radiation dose was almost same as that of IR strength 3 at a half radiation dose. FD that represents complexity of contour would be applied as a potential indicator for the quantitative assessment of iterative reconstruction.
机译:迭代重建(IR)技术可以减少辐射剂量,而不会对图像质量产生不利的客观影响。应用于IR的非线性处理有时可能会通过增加强度来引起不想要的图像外观。我们检查了是否有可能使用分形分析对IR图像进行主观评估。使用不同的重建算法(例如FBP和IR)以不同的辐射剂量(CTDI_(vol)为1.8到14.4 mGy)扫描一束5根丙烯酸棒,这些棒插入充满不同浓度的稀释造影剂的圆形模型的中央, 120 kV时强度1至5。使用二元图像的盒计数方法对图像进行分析以计算模型的分形维数(FD)。 FD随着辐射剂量,IR强度和对比度差异的增加而降低。 100%辐射剂量下的FBP图像的FD与半辐射剂量下的IR强度3几乎相同。表示轮廓复杂度的FD可以用作定量评估迭代重建的潜在指标。

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