Conference proceeding
An intensity standardization-based method for image inhomogeneity correction in MRI
Proceedings of SPIE, Vol.6143(1), pp.614324-6143212
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
03/02/2006
DOI: 10.1117/12.653734
Abstract
An automatic, simple, and image intensity standardization-based strategy for correcting background inhomogeneity in MR images is presented in this paper. Image intensities are first transformed to a standard intensity gray scale by a standardization process. Different tissue sample regions are then obtained from the standardized image by simply thresholding based on fixed intensity intervals. For each tissue region, a polynomial is fitted to the estimated discrete background intensity variation. Finally, a combined polynomial is determined and used for correcting the intensity inhomogeneity in the whole image. The above procedure is repeated on the corrected image iteratively until the size of the extracted tissue regions does not change significantly in two successive iterations. Intensity scale standardization is effected to make sure that the corrected image is not biased by the fitting strategy. The method has been tested on a number of simulated and clinical MR images. These tests and a comparison with the method of non-parametric non-uniform intensity normalization (
) indicate that the method is effective for background intensity inhomogeneity correction and may have a slight edge over the
method.
Details
- Title: Subtitle
- An intensity standardization-based method for image inhomogeneity correction in MRI
- Creators
- Ying Zhuge - University of PennsylvaniaJayaram K Udupa - University of PennsylvaniaJiamin Liu - University of PennsylvaniaPunam K Saha - University of Pennsylvania
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.6143(1), pp.614324-6143212
- Conference
- Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
- DOI
- 10.1117/12.653734
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/02/2006
- Academic Unit
- Electrical and Computer Engineering; Radiology
- Record Identifier
- 9984197288902771
Metrics
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