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HGGM-LIM/prior-motion-reconstruction-CT

PRIMOR method combines image reconstruction and motion estimation in a single algorithm

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Updated 04 Nov 2016

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We propose PRIMOR method that combines image reconstruction and motion estimation in a single algorithm. It extends previous prior-based reconstruction methods by including a model of the motion between consecutive frames into the cost functional. The resulting optimization problem is efficiently solved with the split Bregman formulation. Motion is estimated using a nonrigid registration method based on hierarchical B-splines.
In this paper we compare PRIMOR with a prior-based reconstruction algorithm for respiratory gated CT, resulting in a significant reduction of artefacts and improved image quality.
If you use this code, please reference the publication JFPJ Abascal et al. A novel prior- and motion-based compressed sensing method for small-animal respiratory gated CT. PLOS ONE 9;11(3):e0149841, 2016. If you need to contact the author, please do so at mabella@hggm.es, juanabascal78@gmail.com
Data, code and results for prior- and motion-based reconstruction (PRIMOR) method for respiratory gated CT

Cite As

Juan Felipe Pérez Juste Abascal (2020). HGGM-LIM/prior-motion-reconstruction-CT (https://www.github.com/HGGM-LIM/prior-motion-reconstruction-CT), GitHub. Retrieved .

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MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
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