Abstract:In this paper, we develop an approach to achieve MR thermal image compression by exploiting the spatial correlations of image voxels during thermal treatment. A set of reduced-order basis was identified using Karhunen-Loève (KL) decomposition of MR thermal images. Each image can be compressed with a relative small number of identified KL basis functions. The proposed approach can be used in real-time compression of imaging data in order to minimize a potentially massive amount of information that must be excha… Show more
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