CAJ | 학술논문

对于不完全投影数据CT图像重建问题，E．Y．Sidky等提出了ART-TV算法。该算法将图像的梯度稀疏信息作为先验信息引入到ART迭代算法中，有效地提高了图像的重建质量。论文在原始ART-TV算法的基础上进行了稍许的改进，使梯度自适应下降。最后对Head头部模型进行了仿真实验，并与ART-TV算法进行了比较，实验结果表明新算法提高了图像的重建质量，并且更有效地抑制了噪声。
대우불완전투영수거CT도상중건문제，E．Y．Sidky등제출료ART-TV산법。해산법장도상적제도희소신식작위선험신식인입도ART질대산법중，유효지제고료도상적중건질량。논문재원시ART-TV산법적기출상진행료초허적개진，사제도자괄응하강。최후대Head두부모형진행료방진실험，병여ART-TV산법진행료비교，실험결과표명신산법제고료도상적중건질량，병차경유효지억제료조성。
For the problem of incomplete projection data of CT image reconstruction , E.Y.Sidky proposed ART-TV algorithm.The image gradient sparsity information will be introduced as a priori information to ART iterative algorithm , which effectively improves the quality of image reconstruction .In the paper , the algorithm was improved slightly with a gradient descent adaptively .Finally, we reconstruct the Head standard model with the ART-TV algorithm and the algorithm proposed in the paper .The simulation experimental results show that this algorithm improves the image reconstruction quality and suppresses the noise effectively .