ICCM Conferences, The 8th International Conference on Computational Methods (ICCM2017)

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Research on US-MRI fusion scheme based on non-negative matrix factorization and dual modality contrast agent
Hou Mo

Last modified: 2017-07-26


In order to realize the image fusion and improve the quality of the integration, by the aid of DMCA(dual modality contrast agent), a novel fusion method between US(ultrasound imaging) and MRI(magnetic resonance imaging) is put forward in the article. Due to US’s strong speckle noise, it is an enormous challenge to fuse US with any other modality images. Under the circumstances, DMCA is used in both US and MRI to strengthen the most important information region of interest. Then, because of Rayleigh distribution of ultrasound imaging, an self-adaptive weighted non-negative matrix factorization(SWNMF) scheme is utilized to complete the fusion process. In view of the above-mentioned method, the multiple group comparison tests indicate that US-MRI fusion may be a remarkable method for gaining high-quality fusion image.


US, MRI, fusion, DMCA, SWNMF

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