| 许全盛1 李昕1 谢康宁2△.基于多孔小波融合的PET/CT 图像增强及其评价[J].,2012,12(20):3948-3952 |
| 基于多孔小波融合的PET/CT 图像增强及其评价 |
| Edge Enhancement and of PET/CT Imaging Using à TrousWavelet Based Image Fusion |
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| DOI： |
| 中文关键词: PET/CT 多孔小波分解 图像融合 边缘增强 |
| 英文关键词: PET/CT à trous wavelet decomposition Image fusion Edge enhancement |
| 基金项目:国家自然科学基金（31000491） |
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| 中文摘要: |
| 目的：为解决融合图像视觉效果增强与量化信息损失之间的矛盾，本文提出一种基于非降采样的多孔小波（à trous wavelet）
分解的PET/CT 图像融合方法，使得融合图像既有利于肿瘤诊断又能用于放疗靶区勾画和放射性定量分析。方法：对PET 和CT
图像分别进行多孔小波分解，以包含肿瘤目标的适当大小的感兴趣区域的清晰度为目标函数，采用Nelder-Mead 算法对PET 和
CT 图像高频分解系数之比进行优化获得最终的融合系数，使融合图像充分增加解剖学信息的同时又尽量保持PET 图像原有的
局部和整体灰度信息。结果：融合图像质量评价表明，本文方法能将有价值的PET 功能信息与精确的CT 解剖信息结合在一起，
并克服传统小波融合损失图像量化信息的不足。结论：基于多孔小波融合的PET/CT 图像既能用于肿瘤诊断，又能同时用于肿瘤
学放射性计算和适形放疗计划制定等量化研究。 |
| 英文摘要: |
| Objective: To overcome the contradiction of image visual enhancement and the loss of quantitative information, we
proposed a new method to fuse PET and CT image based on non-subsampled à trous wavelet decomposition. Methods：The PET and CT
images were decomposed using à trous wavelet respectively; the edge-sharpness of an tumor-enclosed area was selected as an objective
function, th en the Nelder-Mead algorithm was employed to optimize the initial f usion coefficient computed from the ratio of the
decomposed highest frequency between PET and CT image to yield a fused image with maximum edge-sharpness around the tumor.
Results: The proposed technique can not only extract the anatomical information from CT image and thus enhance the edge-sharpness of
fused PET/CT image, but also maximally preserve its functional quantitative information both around the tumor area and background.
Conclusion: Besides the application of tumor diagnosis, the resulted fused image can thus be used in radiotherapy planning in which the
quantitative analysis is imperative. |
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