Liver transplantation is an effective treatment for patients with end-stage liver disease. Accurate imaging evaluation of the transplanted patient is critical for ensuring that the limited donor liver is functioning a...Liver transplantation is an effective treatment for patients with end-stage liver disease. Accurate imaging evaluation of the transplanted patient is critical for ensuring that the limited donor liver is functioning appropriately. Ultrasound contrast agents(UCAs), in combination with contrastspecific imaging techniques, are increasingly accepted in clinical use for the assessment of the hepatic vasculature, bile ducts and liver parenchyma in pre-, intra- and posttransplant patients. We describe UCAs, their technical requirements, the recommended clinical indications, image interpretation and the limitations for contrastenhanced ultrasound applications in liver transplantation.展开更多
为构建基于DSP(Digital Signal Processor)的虹膜识别系统,需要依据所采用的DSP硬件系统,将现有的虹膜识别算法移植到DSP的开发环境中。本文详细的阐述了虹膜识别算法的DSP移植过程中的关键点,解决了在程序移植过程中所遇到的与硬件系...为构建基于DSP(Digital Signal Processor)的虹膜识别系统,需要依据所采用的DSP硬件系统,将现有的虹膜识别算法移植到DSP的开发环境中。本文详细的阐述了虹膜识别算法的DSP移植过程中的关键点,解决了在程序移植过程中所遇到的与硬件系统相关的一系列问题,特别是针对在DSP存储空间有限的状态下存储器和虹膜代码的优化问题。完成了虹膜识别程序的DSP移植,进而实现了基于TMS320DM642的虹膜识别系统。移植后的虹膜识别系统采用DSP/BIOS内核,使用多任务调度,提高了程序执行效率。展开更多
基金Supported by National Natural Science Foundation of ChinaNo.81371554+1 种基金Science and Technology Planning Project of Guangdong Province of ChinaNo.2013B021800092
文摘Liver transplantation is an effective treatment for patients with end-stage liver disease. Accurate imaging evaluation of the transplanted patient is critical for ensuring that the limited donor liver is functioning appropriately. Ultrasound contrast agents(UCAs), in combination with contrastspecific imaging techniques, are increasingly accepted in clinical use for the assessment of the hepatic vasculature, bile ducts and liver parenchyma in pre-, intra- and posttransplant patients. We describe UCAs, their technical requirements, the recommended clinical indications, image interpretation and the limitations for contrastenhanced ultrasound applications in liver transplantation.
文摘为构建基于DSP(Digital Signal Processor)的虹膜识别系统,需要依据所采用的DSP硬件系统,将现有的虹膜识别算法移植到DSP的开发环境中。本文详细的阐述了虹膜识别算法的DSP移植过程中的关键点,解决了在程序移植过程中所遇到的与硬件系统相关的一系列问题,特别是针对在DSP存储空间有限的状态下存储器和虹膜代码的优化问题。完成了虹膜识别程序的DSP移植,进而实现了基于TMS320DM642的虹膜识别系统。移植后的虹膜识别系统采用DSP/BIOS内核,使用多任务调度,提高了程序执行效率。
