Baba Norio, Kaneko Kenji, Baba Misuzu
Major of Informatics, Graduate School, Kogakuin University, 2665-1 Nakano, Hachioji, Tokyo, 192-0015, Japan.
Department of Materials Science and Engineering, Kyushu University, Fukuoka, 819-0395, Japan.
Sci Rep. 2020 Nov 19;10(1):20146. doi: 10.1038/s41598-020-77156-1.
We report a new computed tomography reconstruction method, named quantisation units reconstruction technique (QURT), applicable to electron and other fields of tomography. Conventional electron tomography methods such as filtered back projection, weighted back projection, simultaneous iterative reconstructed technique, etc. suffer from the 'missing wedge' problem due to the limited tilt-angle range. QURT demonstrates improvements to solve this problem by recovering a structural image blurred due to the missing wedge and substantially reconstructs the structure even if the number of projection images is small. QURT reconstructs a cross-section image by arranging grey-level quantisation units (QU pieces) in three-dimensional image space via unique discrete processing. Its viability is confirmed by model simulations and experimental results. An important difference from recently developed methods such as discrete algebraic reconstruction technique (DART), total variation regularisation-DART, and compressed sensing is that prior knowledge of the conditions regarding the specimen or the expected cross-section image is not necessary.
我们报告了一种新的计算机断层扫描重建方法,称为量化单元重建技术(QURT),适用于电子断层扫描及其他断层扫描领域。传统的电子断层扫描方法,如滤波反投影、加权反投影、同步迭代重建技术等,由于倾斜角度范围有限,存在“缺失楔形”问题。QURT通过恢复因缺失楔形而模糊的结构图像来改进解决此问题,并且即使投影图像数量较少也能大幅重建结构。QURT通过独特的离散处理在三维图像空间中排列灰度量化单元(QU块)来重建横截面图像。其可行性通过模型模拟和实验结果得到证实。与最近开发的方法(如离散代数重建技术(DART)、总变差正则化-DART和压缩感知)的一个重要区别在于,不需要关于样本或预期横截面图像条件的先验知识。