RECONSTRUCTION OF PICTURES FROM THEIR PROJECTIONS
RECONSTRUCTION OF PICTURES FROM THEIR PROJECTIONS
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DOI：
10.1145/362919.362925
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发表时间：
1971-01-01
影响因子：
22.7
通讯作者：
HERMAN, GT
中科院分区：
文献类型：
--
作者：
GORDON, R;HERMAN, GT
在自然科学和医学中（例如，在电子显微镜和X射线摄影中）存在这样的情况，其中期望从沿着直线（投影）在几个角度处的灰度级的总和来估计数字图像在各个点处的灰度级。通常，在这种情况下，图片是远远没有确定的，问题是要找到“最具代表性”的图片。三个算法描述（所有使用蒙特卡罗方法），旨在解决这个问题。该算法适用于大量不同的领域。最重要的用途可能是从电子显微照片和三维X射线分析中重建可能不对称的颗粒。
There are situations in the natural sciences and medicine (e.g. in electron microscopy and X-ray photography) in which it is desirable to estimate the gray levels of a digital picture at the individual points from the sums of the gray levels along straight lines (projections) at a few angles. Usually, in such situations, the picture is far from determined and the problem is to find the “most representative” picture. Three algorithms are described (all using Monte Carlo methods) which were designed to solve this problem. The algorithms are applicable in a large and varied number of fields. The most important uses may be the reconstruction of possibly asymmetric particles from electron micrographs and three-dimensional X-ray analysis.