光学学报, 2018, 38 (11): 1111002, 网络出版: 2019-05-09
基于图像总变分和张量字典的多能谱CT材料识别研究 
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Material Discrimination by Multi-Spectral CT Based on Image Total Variation and Tensor Dictionary
图 & 表
图 1. 添加碘对比剂的老鼠胸腔模体(第一通道)
Fig. 1. Mouse thorax phantom after addition of iodine contrast agent (first channel)
图 2. 老鼠胸腔模体在不同重建算法和不同能量通道的图像重建结果
Fig. 2. Image reconstruction results of mouse thorax phantom by different algorithms in different energy channels
图 3. 老鼠胸腔模体图像重建定量评价。(a)均方根误差;(b)结构相似性;(c)特征相似性
Fig. 3. Quantitative evaluation of image reconstruction results of mouse thorax phantom. (a) RMSE; (b) SSIM; (c) FSIM
图 4. 碘对比剂、软组织、骨骼的线性衰减系数平均值和相应平均偏差图。(a)(d)碘对比剂;(b)(e)软组织;(c)(f)骨骼
Fig. 4. Mean values and corresponding relative biases of linear attenuation coefficient for iodine contrast agent, soft issue and bone. (a)(d) Iodine contrast agent; (b)(e) soft issue; (c)(f) bone
图 5. 采用不同算法重建结果的材料分解。(a)骨骼;(b)软组织;(c)碘对比剂;(d)融合后的彩色图像
Fig. 5. Material decomposition of reconstruction results obtained by different algorithms. (a) Bone; (b) soft issue; (c) iodine contrast agent; (d) color images after blending
陈佩君, 冯鹏, 伍伟文, 吴晓川, 傅翔, 魏彪, 何鹏. 基于图像总变分和张量字典的多能谱CT材料识别研究[J]. 光学学报, 2018, 38(11): 1111002. Peijun Chen, Peng Feng, Weiwen Wu, Xiaochuan Wu, Xiang Fu, Biao Wei, Peng He. Material Discrimination by Multi-Spectral CT Based on Image Total Variation and Tensor Dictionary[J]. Acta Optica Sinica, 2018, 38(11): 1111002.
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