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Groupwise non-rigid registration on multiparametric abdominal DWI acquisitions for robust ADC estimation: Comparison with pairwise approaches and different multimodal metrics

机译:多参数腹部DWI采集上的成组非刚性配准以获得可靠的ADC估计:与成对方法和不同多模态度量的比较

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Registration of diffusion weighted datasets remains a challenging task in the process of quantifying diffusion indexes. Respiratory and cardiac motion, as well as echo-planar characteristic geometric distortions, may greatly limit accuracy on parameter estimation, specially for the liver. This work proposes a methodology for the non-rigid registration of multiparametric abdominal diffusion weighted imaging by using different well-known metrics under the groupwise paradigm. A three-stage validation of the methodology is carried out on a computational diffusion phantom, a watery solution phantom and a set of voluntary patients. Diffusion estimation accuracy has been directly calculated on the computational phantom and indirectly by means of a residual analysis on the real data. On the other hand, effectiveness in distortion correction has been measured on the phantom. Results have shown statistical significant improvements compared to pairwise registration being able to cope with elastic deformations.
机译:扩散加权数据集的配准在量化扩散指数的过程中仍然是一项艰巨的任务。呼吸和心脏运动以及回声平面特征几何失真可能会极大地限制参数估计的准确性,特别是对于肝脏。这项工作提出了一种方法,通过在分组模式下使用不同的众所周知的度量标准,对多参数腹部扩散加权成像进行非刚性配准。该方法的三阶段验证是在计算扩散模型,水溶液模型和一组自愿患者上进行的。扩散估计的准确性已直接在计算模型上计算,并通过对真实数据的残差分析间接计算出来。另一方面,已经在幻像上测量了失真校正的有效性。与成对配准能够应付弹性变形相比,结果显示出统计学上的显着改善。

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