3D image reconstruction using Radon transform

被引：9

作者：

D'Acunto, Mario ^{[1
,2
]}

Benassi, Antonio ^{[1
]}

Moroni, Davide ^{[1
]}

Salvetti, Ovidio ^{[1
]}

机构：

[1] Natl Res Council Italy ISTI CNR, Inst Informat Sci & Technol, Via G Moruzzi 1, I-56124 Pisa, Italy

[2] Natl Res Council Italy ISM CNR, Inst Struct Matter, Via Fosso Cavaliere 100, I-00133 Rome, Italy

来源：

SIGNAL IMAGE AND VIDEO PROCESSING | 2016年 / 10卷 / 01期

关键词：

Radon transform; Image reconstruction; Markov chain Monte Carlo; FEATURE-EXTRACTION; NEURONS;

D O I：

10.1007/s11760-014-0693-9

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：

Computed tomography as well as magnetic resonance or positron electron tomography is currently the most commonly used medical imaging modalities for the analysis of human body complex structures and organs, where diseases must be recognized and identified. The image reconstruction process used in these tomography techniques is usually based on the Radon transform (RT). In this paper, an algorithm based on Markov chain Monte Carlo methods for reconstruction of 2D-3D structures is introduced, including correction of noise directly from the RT sinograms. The 3D reconstruction is independent by the instrumental technique and can be applied to any RT-based medical imaging technologies.

引用

页码：1 / 8

页数：8

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