A Nonlocal Maximum Likelihood Estimation Method for Enhancing Magnetic Resonance Phase Maps

Sudeep, P V and Palanisamy, P and Kesavadas, Chandrasekharan and Sijbers, Jan and Dekker, Arnold J. den and Rajan, Jeny (2017) A Nonlocal Maximum Likelihood Estimation Method for Enhancing Magnetic Resonance Phase Maps. Signal, Image and Video Processing. pp. 1-7. ISSN 1863-1711

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Abstract

A phase map can be obtained from the real and imaginary components of a complex valued mag- netic resonance (MR) image. Many applications, such as MR phase velocity mapping and susceptibility map- ping, make use of the information contained in the MR phase maps. Unfortunately, noise in the complex MR signal a�ects the measurement of parameters related to phase (e.g, the phase velocity). In this paper, we pro- pose a nonlocal maximum likelihood (NLML) estima- tion method for enhancing phase maps. The proposed method estimates the true underlying phase map from a noisy MR phase map and it also works if the mag- nitude MR image and the noise standard deviation are not given. Experiments on both simulated and real data sets indicate that the proposed NLML method has a better performance in terms of qualitative and quan- titative evaluations when compared to state-of-the-art methods.

Item Type: Article
Uncontrolled Keywords: Denoising � magnetic resonance image � maximum likelihood estimation � noise � phase map
Subjects: Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 24 Nov 2017 06:35
Last Modified: 24 Nov 2017 06:35
URI: http://eprints.manipal.edu/id/eprint/150064

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