A multi-scale method for automatic correction of intensity non-uniformity in MR images.
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.
Han
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Department of Radiology, University of Washington, Seattle, Washington 98195-7115, USA. chaohan@u.washington.edu
Hatsukami
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Yuan
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D016477:Artifacts; D001921:Brain / Q000473:pathology; D002339:Carotid Arteries / Q000473:pathology; D004867:Equipment Design; D006801:Humans; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000295:instrumentation; D008432:Mathematical Computing; D008962:Models, Theoretical; D019047:Phantoms, Imaging