Robust dynamic myocardial perfusion CT deconvolution for accurate residue function estimation via adaptive-weighted tensor total variation regularization: a preclinical study.
Robust dynamic myocardial perfusion CT deconvolution for accurate residue function estimation via adaptive-weighted tensor total variation regularization: a preclinical study.
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通过自适应加权张量总变差正则化进行精确残差函数估计的鲁棒动态心肌灌注 CT 反卷积：临床前研究
DOI：
10.1088/0031-9155/61/22/8135
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发表时间：
2016-11-21
影响因子：
3.5
通讯作者：
Ma J
中科院分区：
文献类型：
--
作者：
Zeng D;Gong C;Bian Z;Huang J;Zhang X;Zhang H;Lu L;Niu S;Zhang Z;Liang Z;Feng Q;Chen W;Ma J
动态心肌灌注计算机断层扫描（MPCT）是一种很有前途的技术，快速诊断和危险分层的冠状动脉疾病。然而，动态MPCT成像的一个主要缺点是由于其动态图像采集协议而对患者造成的高辐射剂量。在这项工作中，为了解决这个问题，我们提出了一个强大的动态MPCT反卷积算法，通过自适应加权张量全变分（AwTTV）正则化精确的残差函数估计与低mA的数据采集。为了简单起见，所提出的方法被称为“MPD-AwTTV”。更具体地，AwTTV正则化相对于原始张量全变差正则化的增益来自于序列MPCT图像的各向异性边缘属性。为了最小化关联目标函数，我们提出了一个有效的迭代优化策略，在迭代收缩/阈值算法的框架内具有快速收敛速度。我们使用数字XCAT体模和临床前猪数据验证和评估所提出的算法。初步的实验结果表明，与现有的数字体模去卷积算法相比，本文提出的MPD-AwTTV去卷积算法在抑制噪声伪影、保留边缘细节、准确估计流量标度残差函数和MPHM等方面都有显著的提高，在猪数据实验中也能获得类似的提高。
Dynamic myocardial perfusion computed tomography (MPCT) is a promising technique for quick diagnosis and risk stratification of coronary artery disease. However, one major drawback of dynamic MPCT imaging is the heavy radiation dose to patients due to its dynamic image acquisition protocol. In this work, to address this issue, we present a robust dynamic MPCT deconvolution algorithm via adaptive-weighted tensor total variation (AwTTV) regularization for accurate residue function estimation with low-mA s data acquisitions. For simplicity, the presented method is termed ‘MPD-AwTTV’. More specifically, the gains of the AwTTV regularization over the original tensor total variation regularization are from the anisotropic edge property of the sequential MPCT images. To minimize the associative objective function we propose an efficient iterative optimization strategy with fast convergence rate in the framework of an iterative shrinkage/thresholding algorithm. We validate and evaluate the presented algorithm using both digital XCAT phantom and preclinical porcine data. The preliminary experimental results have demonstrated that the presented MPD-AwTTV deconvolution algorithm can achieve remarkable gains in noise-induced artifact suppression, edge detail preservation, and accurate flow-scaled residue function and MPHM estimation as compared with the other existing deconvolution algorithms in digital phantom studies, and similar gains can be obtained in the porcine data experiment.
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影响因子：
10.6
作者：
Ruogu Fang;Shaoting Zhang;Tsuhan Chen;Sanelli PC
通讯作者：
Sanelli PC
DOI：
10.1007/s12265-013-9499-3
发表时间：
2013-10-01
影响因子：
3.4
作者：
Patel, Amit R.;Bhave, Nicole M.;Mor-Avi, Victor
通讯作者：
Mor-Avi, Victor
影响因子：
19.7
作者：
Rossi, Alexia;Merkus, Daphne;Krestin, Gabriel P.
通讯作者：
Krestin, Gabriel P.
影响因子：
3.5
作者：
Isola, A. A.;Schmitt, H.;Grass, M.
通讯作者：
Grass, M.
使用预对比扫描诱导边缘保留先验的脑灌注 CT 迭代图像重建
影响因子：
3.5
作者：
Ma J;Zhang H;Gao Y;Huang J;Liang Z;Feng Q;Chen W
通讯作者：
Chen W