TY - JOUR
T1 - A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps
AU - Sudeep, P. V.
AU - Palanisamy, P.
AU - Kesavadas, Chandrasekharan
AU - Sijbers, Jan
AU - Den Dekker, Arnold J.
AU - Rajan, Jeny
N1 - Accepted Author Manuscript
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Denoising
KW - Magnetic resonance image
KW - Maximum likelihood estimation
KW - Noise
KW - Phase map
UR - http://resolver.tudelft.nl/uuid:203ede6d-a190-4371-9d9c-7a15c4daeec9
UR - http://www.scopus.com/inward/record.url?scp=85007190548&partnerID=8YFLogxK
U2 - 10.1007/s11760-016-1039-6
DO - 10.1007/s11760-016-1039-6
M3 - Article
AN - SCOPUS:85007190548
SN - 1863-1703
VL - 11
SP - 913
EP - 920
JO - Signal, Image and Video Processing
JF - Signal, Image and Video Processing
IS - 5
ER -