ANGULAR UPSAMPLING OF PROJECTION MEASUREMENTS IN 3D COMPUTED TOMOGRAPHY USING A SPARSITY PRIOR

被引：0

作者：

Karimi, Davood ^{[1
]}

Ward, Rabab ^{[1
]}

Ford, Nancy ^{[2
]}

机构：

[1] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V5Z 1M9, Canada

[2] Univ British Columbia, Fac Dent, Vancouver, BC V5Z 1M9, Canada

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2015年

关键词：

computed tomography; upsampling; inpainting; sinogram; sparse modeling; RECONSTRUCTION; CT; ALGORITHM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We propose an algorithm for angular upsampling of the projections in 3D computed tomography (CT). The central assumption of the proposed method is that small blocks extracted from stacked projections have a sparse representation in an overcomplete dictionary. We present methods for fast solution of the optimization problems involved and apply the proposed algorithm on simulated and real projections. Our results show that upsampling of the projections with the proposed method can lead to a significant improvement in the quality of the reconstructed image.

引用

页码：3363 / 3367

页数：5

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