【摘要】 现有的体绘制成像技术受到硬件及算法的限制,对高速采集的时变数据绘制需要漫长的预处理时间,难以满足实时便携的要求.为此提出一种基于存储优化的Shear-Warp数据整序算法.该算法通过预判视线方向避免了原始数据的重复存储及多次缓存;在FPGA硬件加速的基础上克服了与存储器件的交互瓶颈,实现对图像和观察角度变化的实时动态响应.实验结果表明,在自主研发的"双子星"系列开发板100MHz工作频率下,完成一帧256×256×256的三维图像体绘制计算时间小于12.34ms,帧率达到81.0帧/s,且不需要数据预处理过程,可以实现对时变数据的实时动态显示,适合于便携超声等应用领域.更多还原

【Abstract】 Due to the limitations of hardware and algorithms,it is time-consuming to preprocess highspeed time-varying data,which makes it difficult to meet real-time and portable applications.In this paper,we proposed a novel data collation method based on storage optimization for Shear-Warp algorithm.Through prejudgment of sight direction,it successfully avoided duplicate storage of original data and multiple caches.The FPGA acceleration is launched to overcome the bottleneck of memory data exchange,thus the real-time response of the shifting images and observation angles are achieved.The experimental results on the independently developed "Gemini"board,with the 256×256×256 three-dimensional ultrasound data processing in a 100MHz working frequency,demonstrated that the system could finish volume rendering per frame within 12.34ms,i.e.a frame rate of 81.0fps.The proposed system can achieve dynamic display for time-varying data without preprocessing,which is suitable for portable device like ultrasound scanner.更多还原