A Review on MR Image Intensity Inhomogeneity Correction
Intensity inhomogeneity (IIH) is often encountered in MR imaging, and a number of techniques have been devised to correct this artifact. This paper attempts to review some of the recent developments in the mathematical modeling of IIH field. Low-frequency models are widely used, but they tend to cor...
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2006-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/IJBI/2006/49515 |
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| _version_ | 1849691153278959616 |
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| author | Zujun Hou |
| author_facet | Zujun Hou |
| author_sort | Zujun Hou |
| collection | DOAJ |
| description | Intensity inhomogeneity (IIH) is often encountered in MR imaging,
and a number of techniques have been devised to correct this
artifact. This paper attempts to review some of the recent
developments in the mathematical modeling of IIH field.
Low-frequency models are widely used, but they tend to corrupt the
low-frequency components of the tissue. Hypersurface models and
statistical models can be adaptive to the image and generally more
stable, but they are also generally more complex and consume more
computer memory and CPU time. They are often formulated together
with image segmentation within one framework and the overall
performance is highly dependent on the segmentation process.
Beside these three popular models, this paper also summarizes
other techniques based on different principles. In addition, the
issue of quantitative evaluation and comparative study are
discussed. |
| format | Article |
| id | doaj-art-e2b378c05e3642c290316125e3140b0b |
| institution | DOAJ |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2006-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-e2b378c05e3642c290316125e3140b0b2025-08-20T03:21:07ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962006-01-01200610.1155/IJBI/2006/4951549515A Review on MR Image Intensity Inhomogeneity CorrectionZujun Hou0Biomedical Imaging Lab., Singapore Bioimaging Consortium, 30 Biopolis Street, Matrix #07-01, 138671, SingaporeIntensity inhomogeneity (IIH) is often encountered in MR imaging, and a number of techniques have been devised to correct this artifact. This paper attempts to review some of the recent developments in the mathematical modeling of IIH field. Low-frequency models are widely used, but they tend to corrupt the low-frequency components of the tissue. Hypersurface models and statistical models can be adaptive to the image and generally more stable, but they are also generally more complex and consume more computer memory and CPU time. They are often formulated together with image segmentation within one framework and the overall performance is highly dependent on the segmentation process. Beside these three popular models, this paper also summarizes other techniques based on different principles. In addition, the issue of quantitative evaluation and comparative study are discussed.http://dx.doi.org/10.1155/IJBI/2006/49515 |
| spellingShingle | Zujun Hou A Review on MR Image Intensity Inhomogeneity Correction International Journal of Biomedical Imaging |
| title | A Review on MR Image Intensity Inhomogeneity Correction |
| title_full | A Review on MR Image Intensity Inhomogeneity Correction |
| title_fullStr | A Review on MR Image Intensity Inhomogeneity Correction |
| title_full_unstemmed | A Review on MR Image Intensity Inhomogeneity Correction |
| title_short | A Review on MR Image Intensity Inhomogeneity Correction |
| title_sort | review on mr image intensity inhomogeneity correction |
| url | http://dx.doi.org/10.1155/IJBI/2006/49515 |
| work_keys_str_mv | AT zujunhou areviewonmrimageintensityinhomogeneitycorrection AT zujunhou reviewonmrimageintensityinhomogeneitycorrection |