Towards a high-resolution local tomography using statistical iterative reconstruction
Towards a high-resolution local tomography using statistical iterative reconstruction
复制标题
使用统计迭代重建实现高分辨率局部断层扫描
DOI:
10.1109/nssmic.2011.6153816
复制
发表时间:
2011
期刊:
影响因子:
--
通讯作者:
H.Kudo
中科院分区:
文献类型:
--
作者:
E. A. Rashed;H. Toda;T. Sera;A. Tsuchiyama;T. Nakano;K. Uesugi;H.Kudo
Synchrotron radiation (SR) x-ray micro-CT is an effective method for high-resolution imaging of small objects with several applications in biology and industry. However, the detector field of view is tiny, which limits the sample size to a few millimeters. When the sample size is larger than the limited field of view, reconstructed images, using conventional methods, known to suffer from DC-shift and low-frequency artifacts. This problem is known as local tomography or interior problem. In this paper we introduce a statistical iterative image reconstruction method to eliminate image artifacts produced from local tomography. The proposed method can be used in several SR imaging applications to enable a high resolution of the scanned object while preserving the image quality from artifacts produced due to the local tomography problem.
DOI:
--
发表时间:
2009
期刊:
日本医用画像工学会誌 Medical Imaging Technology
影响因子:
--
作者:
E. A. Rashed;H. Kudo;F. Noo
通讯作者:
F. Noo