Mart Algorithms for Circular and Helical Cone-Beam Tomography

The present work is concerned with the evaluation of the performance and the efficient implementation of multiplicative algebraic reconstruction technique (MART) to reconstruct three-dimensional (3D) objects for two different source/detector trajectories. Three types of MART algorithms are tested on...

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Bibliographic Details
Published in:Research in nondestructive evaluation 2011-07, Vol.22 (3), p.147-168
Main Authors: Jain, Nitin, Raj, Anant, Kalra, M. S., Munshi, Prabhat, Ravindran, V. R.
Format: Article
Language:English
Subjects:
3-D technology
algebraic reconstruction techniques
Algorithms
cone-beam reconstruction
convolution backprojection
Helical
Nondestructive testing
Performance evaluation
Projection
Three dimensional
Tomography
Trajectories
X-rays
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Summary:The present work is concerned with the evaluation of the performance and the efficient implementation of multiplicative algebraic reconstruction technique (MART) to reconstruct three-dimensional (3D) objects for two different source/detector trajectories. Three types of MART algorithms are tested on a numerical phantom (Defrise), and they are implemented on a 3D X-ray system of Vikram Sarabhai Space Centre (VSSC). Circular and helical cone-beam trajectories are used. The results are compared with convolution backprojection (CBP) algorithm for each trajectory. It is found that iterative algorithms perform better than their counterpart, the transform-based CBP algorithm, whenever tomography systems are ill-conditioned due to limited views and/or noisy projection data.
ISSN:0934-9847
1432-2110
DOI:10.1080/09349847.2011.553347