Graphic processing unit based phase retrieval and CT reconstruction for differential X-ray phase contrast imaging

Compared with the conventional X-ray absorption imaging, the X-ray phase-contrast imaging shows higher contrast on samples with low attenuation coefficient like blood vessels and soft tissues. Among the modalities of phase-contrast imaging, the grating-based phase contrast imaging has been widely accepted owing to the advantage of wide range of sample selections and exemption of coherent source. However, the downside is the substantially larger amount of data generated from the phase-stepping method which slows down the reconstruction process. Graphic processing unit （GPU） has the advantage of allowing parallel computing which is very useful for large quantity data processing. In this paper, a compute unified device architecture （CUDA） C program based on GPU is introduced to accelerate the phase retrieval and filtered back projection （FBP） algorithm for grating-based tomography. Depending on the size of the data, the CUDA C program shows different amount of speed-up over the standard C program on the same Visual Studio 2010 platform. Meanwhile, the speed-up ratio increases as the size of data increases.     

IPv6环境下ND协议的安全威胁及防御对策研究

通过对IPv6地址与ND协议报文结构和工作机制的分析,可以了解IPv6环境下工作于本地链路范围的ND协议面临的安全威胁.从ND协议使用的5种类型ICMPv6消息入手,剖析可能存在的RA、NA、重定向欺骗和RS、NS泛洪安全隐患,针对安全威胁提出在接入层交换机上实施的防御策略,起到保护本地链路范围内信息报文正常交互的目的.