Novel Algebraic Reconstruction Technique for Faster And Finer CT Reconstruction

被引：3

作者：

Saha, Sajib ^{[1
]}

Tahtali, Murat ^{[1
]}

Lambert, Andrew ^{[1
]}

Pickering, Mark ^{[1
]}

机构：

[1] Univ New South Wales Canberra, Sch Engn & Informat Technol, Canberra, ACT, Australia

来源：

FIFTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2012): COMPUTER VISION, IMAGE ANALYSIS AND PROCESSING | 2013年 / 8783卷

关键词：

Algebraic reconstruction technique; ART; computed tomography; CT; backprojection; iterative approach;

D O I：

10.1117/12.2011073

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present an innovative iterative algorithm for tomographic reconstruction. Algebraic reconstruction technique (ART) which is considered as the core of iterative approach has been enhanced to ensure much finer and faster reconstruction. Backprojection has been customized to make it work even when the projections are not uniformly distributed. Contour information of the object has been combined with customized backprojection to ensure a better initial guess to start ART iterations. Based on experiments with both simulated and real medical images it has been shown that the proposed modality is capable of computing more accurate reconstructions in addition with lower computational cost than traditional ART.

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页数：6

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