Dept. of Eng., Iowa Univ., Iowa City, IA.
IEEE Trans Med Imaging. 1990;9(3):305-9. doi: 10.1109/42.57768.
Fast Fourier algorithms are presented for image reconstruction from nonrectangularly sampled data. Since standard display devices require image matrices with rectangular pixels, these algorithms accept nonrectangularly sampled input and calculate output points on a rectangular array. Images are reconstructed with no loss of resolution on a 256x256 square pixel format from 224x256 hexagonally sampled raw data points with no interpolation. The images demonstrate aliasing in a hexagonal pattern around the primary image. This technique can be used to reduce scan time, data throughput, and data-storage requirements while maintaining resolution or to improve resolution while maintaining scan time.
介绍了用于从非矩形采样数据重建图像的快速傅里叶算法。由于标准显示设备需要具有矩形像素的图像矩阵,因此这些算法接受非矩形采样的输入,并在矩形阵列上计算输出点。从无插值的 224x256 六边形采样原始数据点重建 256x256 正方形像素格式的图像,分辨率无损失。图像在主图像周围呈现六边形的混叠。该技术可用于在保持分辨率的同时减少扫描时间、数据吞吐量和数据存储要求,或在保持扫描时间的同时提高分辨率。