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18 March 2015 Ultra low radiation dose digital subtraction angiography (DSA) imaging using low rank constraint
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In this work we developed a novel denoising algorithm for DSA image series. This algorithm takes advantage of the low rank nature of the DSA image sequences to enable a dramatic reduction in radiation and/or contrast doses in DSA imaging. Both spatial and temporal regularizers were introduced in the optimization algorithm to further reduce noise. To validate the method, in vivo animal studies were conducted with a Siemens Artis Zee biplane system using different radiation dose levels and contrast concentrations. Both conventionally processed DSA images and the DSA images generated using the novel denoising method were compared using absolute noise standard deviation and the contrast to noise ratio (CNR). With the application of the novel denoising algorithm for DSA, image quality can be maintained with a radiation dose reduction by a factor of 20 and/or a factor of 2 reduction in contrast dose. Image processing is completed on a GPU within a second for a 10s DSA data acquisition.
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Kai Niu, Yinsheng Li, Sebastian Schafer, Kevin Royalty, Yijing Wu, Charles Strother, and Guang-Hong Chen "Ultra low radiation dose digital subtraction angiography (DSA) imaging using low rank constraint", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94121O (18 March 2015);

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