Application of 3D Sampling Trajectory in EVDRS Algorithm

Zhongyuan Mou, Jie Yang, Jieru Chi
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Abstract

In order to solve the reconstructed image problem with poor image quality and long data scan time, 3D-EVDRS algorithm is proposed in this paper. By using 3D sampling trajectory in EVDRS algorithm, 3D-EVDRS algorithm can rationally solve the reconstructed image problem with poor image quality and long data scan time. For illustration, the medical diagnosis spine data is utilized to show the feasibility of the 3D-EVDRS algorithm in solving the reconstructed image problem with poor image quality and long data scan time. Experiments show that 3D-EVDRS algorithm will be used as an efficient algorithm in solving the reconstructed image problem with poor image quality and long data scan time. 3D-EVDRS algorithm can effectively solve the problem with image quality and imaging speed and thus a class of the reconstructed image problem with poor image quality and long data scan time are solved.
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三维采样轨迹在EVDRS算法中的应用
为了解决重建图像质量差、数据扫描时间长的问题,本文提出了3D-EVDRS算法。通过在EVDRS算法中使用三维采样轨迹,3D-EVDRS算法可以合理地解决重建图像质量差、数据扫描时间长的问题。以医学诊断脊柱数据为例,说明3D-EVDRS算法在解决图像质量差、数据扫描时间长的重构图像问题上的可行性。实验表明,3D-EVDRS算法是解决图像质量差、数据扫描时间长的重构图像问题的有效算法。3D-EVDRS算法有效地解决了图像质量和成像速度问题,从而解决了一类图像质量差、数据扫描时间长的重构图像问题。
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