Noise Estimation in Spiral Imaging
Sudarshan Ragunathan 1 , Dinghui Wang 1 , Zhiqiang Li 1 , and James G Pipe 1
Neuroimaging Research, Barrow Neurological
Institute, Phoenix, Arizona, United States
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.
This abstract and the presentation materials are available to members only;
a login is required.