MRI denoising via phase error estimation

Dylan Tisdall; M. Stella Atkins

doi:10.1117/12.595677

29 April 2005 MRI denoising via phase error estimation

Dylan Tisdall, M. Stella Atkins

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.595677
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

If the phase error at each pixel in a complex-valued MRI image is known the noise in the image can be reduced resulting in improved detection of medically significant details. However, given a complex-valued MRI image, estimating the phase error at each pixel is a difficult problem. Several approaches have previously been suggested including non-linear least squares fitting and smoothing filters. We propose a new scheme based on iteratively applying a series of non-linear filters, each used to modify the estimate into greater agreement with one piece of knowledge about the problem, until the output converges to a stable estimate. We compare our results with other phase estimation and MRI denoising schemes using synthetic data.

Citation Download Citation

Dylan Tisdall and M. Stella Atkins "MRI denoising via phase error estimation", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.595677

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