Temporal sparsity exploiting nonlocal regularization for 4D computed tomography reconstruction
X-ray imaging applications in medical and material sciences are frequently limited by the number of tomographic projections collected. The inversion of the limited projection data is an ill-posed problem and needs regularization. Traditional spatial regularization is not well adapted to the dynamic...
Main Authors: | , , , , , , |
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Format: | Online |
Language: | English |
Published: |
IOS Press
2016
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929339/ |