Title :
Phase unwrapping of MR phase images using Poisson equation
Author :
Song, S. Moon-Ho ; Napel, Sandy ; Pelc, Norbert J. ; Glover, Gary H.
Author_Institution :
Dept. of Radio Eng., Korea Univ., Seoul, South Korea
fDate :
5/1/1995 12:00:00 AM
Abstract :
The authors have developed a technique based on a solution of the Poisson equation to unwrap the phase in magnetic resonance (MR) phase images. The method is based on the assumption that the magnitude of the inter-pixel phase change is less than π per pixel. Therefore, the authors obtain an estimate of the phase gradient by “wrapping” the gradient of the original phase image. The problem is then to obtain the absolute phase given the estimate of the phase gradient. The least-squares (LS) solution to this problem is shown to be a solution of the Poisson equation allowing the use of fast Poisson solvers. The absolute phase is then obtained by mapping the LS phase to the nearest multiple of 2 K from the measured phase. The proposed technique is evaluated using MR phase images and is proven to be robust in the presence of noise. An application of the proposed method to the 3-point Dixon technique for water and fat separation is demonstrated
Keywords :
biomedical NMR; medical image processing; 3-point Dixon technique; MR phase images; Poisson equation; absolute phase; fast Poisson solvers; inter-pixel phase change magnitude; least-squares solution; magnetic resonance imaging; medical diagnostic imaging; phase unwrapping; water/fat separation; Fourier transforms; Magnetic resonance; Magnetic resonance imaging; Phase estimation; Phase measurement; Phase noise; Poisson equations; Signal processing; Signal processing algorithms; Speckle;
Journal_Title :
Image Processing, IEEE Transactions on