17 October 2012 Unified dual-modality image reconstruction with dual dictionaries
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Abstract
To utilize the synergy between CT and MR datasets from an object at the same time, a unified dual-modality image reconstruction approach is proposed using a dual-dictionary learning technique. The key is to establish a knowledgebased connection between these two datasets for a tight fusion of different imaging modalities. Our scheme consists of three inter-related elements: dual-dictionary learning, CT image reconstruction, and MR image reconstruction. Our experiments show that even with highly under-sampled MR data and few x-ray projections, we can still satisfactorily reconstruct both MR and CT images. This approach can be potentially useful for a CT-MRI system.
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Yang Lu, Jun Zhao, Tiange Zhuang, Ge Wang, "Unified dual-modality image reconstruction with dual dictionaries", Proc. SPIE 8506, Developments in X-Ray Tomography VIII, 85061V (17 October 2012); doi: 10.1117/12.932246; https://doi.org/10.1117/12.932246
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