title: Robust phase sensitive inversion recovery imaging using a Markov random field model.
abstract: This paper presents a novel method for phase sensitive inversion recovery (PSIR) imaging for improved T/sub 1/ contrast. This method models the phase of the complex magnetic resonance image using a statistical model based on Markov random fields. A computationally efficient optimization method is developed. Computer simulations and in-vivo brain imaging experiments show that the proposed method can produce PSIR images with enhanced T/sub 1/ contrast and it is robust against high levels of data noise even when rapid phase variations are presented.
authors.affiliation: Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA.
authors.forename: Ravindra M
authors.initials: RM
authors.lastname: Garach
authors.forename: Jim X
authors.initials: JX
authors.lastname: Ji
authors.forename: Lei
authors.initials: L
authors.lastname: Ying
authors.forename: Jingfei
authors.initials: J
authors.lastname: Ma