Image Processing Reference
In-Depth Information
Correction of intensity
nonuniformity in breast MR
S. Yazdani 1 ; R. Yusof 1 ; A. Karimian 2 ; M. Pashna 1 ; A. Hematian 3
1 Malaysia-Japan International Institute of Technology (MJIIT),
Universiti Teknologi Malaysia, Jalan semarak 54100 Kuala Lumpur, Malaysia
2 Department of Biomedical Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran
3 Department of Computer and Information Sciences, Towson University, Towson, MD, USA
Breast cancer is one of the most prevalent cancers among women. Mammography, as one of the primary
studies, is used for diagnosis of breast disease. In addition, MR images can depict most of the signiicant
changes of breast during the time. For the first step of breast disease detection, the density measurement
of the breast on MR images may provide very useful information. MR images have some instinctive
limitations like the strongly dependence of contrast upon the way the image is acquired, noise, partial
volumes, intensity inhomogeneities (bias field), etc. For these reasons, an effective normalization on
breast MR images is very important issue for detecting breast disease signs. The first important step for
quantitative analysis of breast density on MRI is preprocessing step including noise reduction and bias
field correction. In this study, N3 algorithm is used for correcting the field inhomogeneity in MR images.
We used T1-weighted images, using a 1.5-T MRI scanner. The results demonstrate effectiveness and ei-
ciency of the proposed method.
Bias field correction
Breast disease diagnosis
MR images
N3 method
The authors would like to thank Ministry of Education of Malaysia (MoE), University Teknologi
Malaysia (UTM) and Research Management Centre of UTM for providing financial support un-
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