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Simultaneous algebraic reconstruction technique based on guided image filtering
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DOI：10.1364/OE.24.015897.png)
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Abstract
En 中文
The challenge of computed tomography is to reconstruct high-quality images from few-view projections. Using a prior guidance image, guided image filtering smoothes images while preserving edge features. The prior guidance image can be incorporated into the image reconstruction process to improve image quality. We propose a new simultaneous algebraic reconstruction technique based on guided image filtering. Specifically, the prior guidance image is updated in the image reconstruction process, merging information iteratively. To validate the algorithm practicality and efficiency, experiments were performed with numerical phantom projection data and real projection data. The results demonstrate that the proposed method is effective and efficient for nondestructive testing and rock mechanics. (C) 2016 Optical Society of America
Keywords:
PHASE-CONTRAST TOMOGRAPHY
COMPUTED-TOMOGRAPHY
ITERATIVE RECONSTRUCTION
FEW-VIEW
PROJECTIONS
REGULARIZATION
CT
ALGORITHM
OBJECTS
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