CAJ | 학술논문

低剂量 CT 图像由于采用了较低的 X 射线放射剂量，大大降低了辐射对人体的危害，但由此带来的问题是投影数据受噪声污染严重，从而导致了重建图像质量的降低。针对上述问题，在基于偏微分方程的基础上，提出一种改进的投影域降噪算法。该算法在各向异性扩散方程的基础上，利用局部熵可以有效地反映图像局部特征的特点，来控制扩散的程度。实验结果表明，新的算法在提高重建图像信噪比的同时更好地保持了图像的细节和边缘信息。
저제량 CT 도상유우채용료교저적 X 사선방사제량，대대강저료복사대인체적위해，단유차대래적문제시투영수거수조성오염엄중，종이도치료중건도상질량적강저。침대상술문제，재기우편미분방정적기출상，제출일충개진적투영역강조산법。해산법재각향이성확산방정적기출상，이용국부적가이유효지반영도상국부특정적특점，래공제확산적정도。실험결과표명，신적산법재제고중건도상신조비적동시경호지보지료도상적세절화변연신식。
Because of using lower X-ray dose,the harm of radiation in low-dose CT image on the human body is greatly reduced.But the problem it brings out is that the projection data are polluted seriously by the noise,thus leads to the reductions in quality of the reconstructed image.In view of the above problems,based on partial differential equations we present an improved projectiond domain denoising algorithm. On the basis of the anisotropic diffusion equation,the algorithm can effectively reflect the feature of local characteristics of the image by using the local entropy to control the degree of diffusion.Experimental results show that the new algorithm better preserves the detail and edge information of the reconstructed image while increasing the SNR of reconstructed image.