Autonomous reconstruction and segmentation of tomographic data

被引：2
|
作者：
Wollgarten, Markus [1 ]
Habeck, Michael [2 ]
机构：
[1] Helmholtz Zentrum Berlin Mat & Energie, D-14109 Berlin, Germany
[2] Univ Gottingen, Inst Math Stochast, D-37077 Gottingen, Germany
来源：
MICRON | 2014年 / 63卷
关键词：
Tomography; Tomographic reconstruction; Segmentation; ELECTRON; DISTRIBUTIONS;
D O I：
10.1016/j.micron.2014.02.005
中图分类号：
TH742 [显微镜];
学科分类号：
摘要：
A Bayesian approach to reconstruction and segmentation of tomographic data is outlined and further detailed for the case of absorption tomography. The algorithm allows the quantification of reconstruction errors and segmentation confidence. Calculation results for various experimental settings (number of projections, incident dose, different materials) are shown and discussed. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：20 / 27
页数：8
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