title: T2 restoration and noise suppression of hybrid MR images using Wiener and linear prediction techniques.
abstract: The authors address the problem of enhancing hybrid magnetic resonance (MR) images degraded by T2 effects and additive measurement noise. To reduce imaging time, MR signals are acquired using hybrid imaging (HI) sequences such as rapid acquisition relaxation-enhanced (RARE) and fast spin-echo (FSE). With these techniques, T2 effects act as a distortion filter. This T2 filter affects the signal and results in image spatial resolution and/or contrast loss. Furthermore, the amplitude and phase discontinuities in the T2 filter frequency response function may generate serious ringing artifacts. These distortions will damage image quality and affect object detectability. The authors use the Wiener filter and linear prediction (LP) technique to process HI MR signals in the spatial frequency domain (K-space) and the hybrid domain, respectively. Based on the average amplitude symmetry constraint of the spin echo signal, the amplitude frequency response function of the T2 distortion filter can be estimated and used in the Wiener filter for a global T2 amplitude restoration. Then, the linear prediction technique is utilized to obtain the local signal amplitude and phase estimates around the discontinuities of the frequency response function of the T2 filter. These estimates are used to make local amplitude and phase corrections. The effectiveness of this combined technique in correcting T2 distortion and reducing the measurement noise is analyzed and demonstrated using experiments on both phantoms and human studies.
authors.affiliation: Radiol. Imaging Lab., California Univ., San Francisco, CA.
authors.forename: H
authors.initials: H
authors.lastname: Chen
authors.forename: H
authors.initials: H
authors.lastname: Avram
authors.forename: L
authors.initials: L
authors.lastname: Kaufman
authors.forename: J
authors.initials: J
authors.lastname: Hale
authors.forename: D
authors.initials: D
authors.lastname: Kramer