南方医科大学学报2011，Vol.31Issue(12)：1974-1980,7.DOI:44-1627/R.20111210.2116.005
基于非局部权值先验和GPU加速的3D低剂量CT成像
Three-dimensional low-dose CT volume reconstruction based on non-local weights optimization and GPU acceleration
摘要
Abstract
Concerns have been raised over x-ray radiation dose associated with repeated computed tomography (CT) scans for tumor surveillance and radiotherapy planning. In this paper, we present a low-dose CT image reconstruction rnethod for improving low-dose CT image quality. The method proposed exploited rich redundancy information from previous normal-dose scan image for optimizing the non-local weights construction in the original non-local means (NLM)-based low-dose image reconstruction. The objective 3D low-dose volume and the previous 3D normal-dose volume were first registered to reduce the anatomic structural dissimilarity between the two datasets, and the optimized non-local weights were constructed based on the registered normal-dose volume. To increase the efficiency of this method, GPU was utilized to accelerate the implementation. The experimental results showed that this method obviously improved the image quality, as compared with the original NLM method, by suppressing the noise-induced artifacts and preserving the edge information.关键词
低剂量CT/正常剂量CT/图像重建/非局部均值滤波/GPUKey words
low-dose CT/ normal-dose CT/ image reconstruction/ non-local means/ GPU分类
信息技术与安全科学引用本文复制引用
张喜乐,田玲玲,黄静,马建华,张华,冯前进,陈武凡..基于非局部权值先验和GPU加速的3D低剂量CT成像[J].南方医科大学学报,2011,31(12):1974-1980,7.基金项目
国家自然科学基金(81101046,81000613) （81101046,81000613）
国家"973"重点基础研究发展计划项目(2010CB732503) （2010CB732503）
国家科技支撑计划项目(2011BAI12B03) （2011BAI12B03）
广东省科技计划项目(2011A030300005) （2011A030300005）
