Noise Estimation in Spiral Imaging

Current methods estimating noise content in an image require either multiple acquisitions or selecting an appropriate background region of the image. This work does not require either, and provides an estimate of the noise by eliminating signal content from a single dataset acquired by spiral or similar trajectories. The signal elimination was achieved by appropriate modification of the sampling density correction (SDC) weights. The modified weights was input to a gridding algorithm to obtain a noise image.

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