A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps

A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps

Sudeep, P. V. (National Institute of Technology - Tiruchirappalli; National Institute of Technology Karnataka)
Palanisamy, P. (National Institute of Technology - Tiruchirappalli)
Kesavadas, Chandrasekharan (Sree Chitra Tirunal Institute for Medical Sciences and Technology)
Sijbers, JJM (Universiteit Antwerpen)
den Dekker, A.J. (TU Delft Team Michel Verhaegen; Universiteit Antwerpen)
Rajan, Jeny (National Institute of Technology Karnataka)

2017

A phase map can be obtained from the real and imaginary components of a complex valued magnetic resonance (MR) image. Many applications, such as MR phase velocity mapping and susceptibility mapping, make use of the information contained in the MR phase maps. Unfortunately, noise in the complex MR signal affects the measurement of parameters related to phase (e.g, the phase velocity). In this paper, we propose a nonlocal maximum likelihood (NLML) estimation method for enhancing phase maps. The proposed method estimates the true underlying phase map from a noisy MR phase map. Experiments on both simulated and real data sets indicate that the proposed NLML method has a better performance in terms of qualitative and quantitative evaluations when compared to state-of-the-art methods.

Denoising
Magnetic resonance image
Maximum likelihood estimation
Noise
Phase map

http://resolver.tudelft.nl/uuid:203ede6d-a190-4371-9d9c-7a15c4daeec9

https://doi.org/10.1007/s11760-016-1039-6

2017-12-24

1863-1703

Signal, Image and Video Processing, 11 (5), 913-920

Accepted Author Manuscript

Institutional Repository

journal article

© 2017 P. V. Sudeep, P. Palanisamy, Chandrasekharan Kesavadas, JJM Sijbers, A.J. den Dekker, Jeny Rajan