Premium
A multi‐scale method for automatic correction of intensity non‐uniformity in MR images
Author(s) -
Han Chao,
Hatsukami Thomas S.,
Yuan Chun
Publication year - 2001
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.1062
Subject(s) - sensitivity (control systems) , scanner , computer science , electromagnetic coil , imaging phantom , scale (ratio) , residual , wavelet transform , filter (signal processing) , wavelet , scale space , artificial intelligence , image (mathematics) , k space , computer vision , algorithm , pattern recognition (psychology) , mathematics , optics , image processing , physics , fourier transform , mathematical analysis , quantum mechanics , electronic engineering , engineering
In this paper, a novel multi‐scale method for coil sensitivity profile correction is presented based on wavelet transform. A magnetic resonance (MR) image can be decomposed into two spaces by the wavelet transform: approximate space and residual space. The approximate templates in approximate space can be thought of as multi‐scale sensitivity profiles of the surface coil for coil correction. When we choose a suitable filter for decomposition, one of the sensitivity profiles should be optimal among the multi‐scale sensitivity profiles. The optimal sensitivity profile can be chosen automatically by an analysis of the contents of the two spaces. The multi‐scale method does not rely on any data other than the image generated by the MR scanner. The experiment showed promising results based on one‐dimensional simulation and images of phantom and human images. J. Magn. Reson. Imaging 2001;13:428–436. © 2001 Wiley‐Liss, Inc.