.png){kind=icon}
返回
Multichannel algorithm for fast 3D reconstruction
.png){kind=icon}
PRE
AI
DOI：10.1088/0031-9155/47/15/308.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Some recent medical imaging applications such as functional imaging (PET and SPECT) or interventional imaging (CT fluoroscopy) involve increasing amounts of data. In order to reduce the image reconstruction time, we develop a new fast 3D reconstruction algorithm based on a divide and conquer approach. The proposed multichannel algorithm performs an indirect frequential subband decomposition of the image f to be reconstructed (f = Sigmaf(j)) through the filtering of the projections Rf. The subband images f(j) are reconstructed on a downsampled grid without information suppression. In order to reduce the computation time, we do not backproject the null filtered projections and we downsample the number of projections according to the Shannon conditions associated with the subband image. Our algorithm is based on filtering and backprojection operators. Using the same algorithms for these basic operators, our approach is three and a half times faster than a classical FBP algorithm for a 2D image 512 x 512 and six times faster for a 3D image 32 x 512 x 512.
Keyword:
RADON-TRANSFORM
CT
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.4
论文数:
1.4W
被引数:
3.1W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏Polar oxide substrates for graphene growth: A first-principles investigation of graphene on MgO(111)
PREAI
分享收藏分享收藏 没有更多内容
没有更多内容