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作 者:毕一鸣[1] 马建华[1] 路利军[1] 刘楠[1] 黄静[1] 陈武凡[1]
机构地区:[1]南方医科大学生物医学工程学院医学信息研究所,广东广州510515
出 处:《电子学报》2010年第5期1146-1151,共6页Acta Electronica Sinica
基 金:国家973重点基金研究发展规划(No.2010CB732503);国家自然科学基金(No.30730036)
摘 要:本文提出一种基于标准剂量CT图像非局部权值先验的低剂量图像恢复方法,该方法首先将先前标准剂量图像与低剂量CT图像配准,并对低剂量CT图像进行预处理以抑制部分噪声,随后利用非局部均值的思想计算配准后的先前标准剂量CT图像的权值矩阵,基于该权值矩阵对预处理后的低剂量CT图像进行加权均值滤波.仿真实验和临床脑灌注数据实验表明,本文方法在消除低剂量CT图像噪声和伪影的同时,还可提升图像分辨率,对临床脑灌注CT扫描的疾病诊断中尤为有效.A novel approach is proposed to improve low-dose CT image quality by a non-local weighs prior which is acquired from previous normal-dose scan. First, we align two images--the low-dose and the previous normal-dose scan image, and filter the low-dose image to suppress noise. Then,the weight malrix of the registered normal-dose image is calculated by the non-local means weighting formula, and the low-dose image is restorated using this weight matrix as a prior. Simulated phantom and perfusion data experiment results demonstrate a highly quality improvement in terms of suppressing noise-induced streak artifacts and preserving resolution of the low-dose image using the proposed method. The proposed method is especially effective for clinical short-term repeated CT scan, such as perfusion and radiation therapy.
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