| 期刊詳細資料 Journal detailed information |
| 作者(Author) | C.-H. Wei、Y. Li、P.J. Huang、C.-Y. Gwo、S.E. Harms |
| 篇名(Article title) | Estimation of breast density: An adaptive moment preserving method for segmentation of fibroglandular tissue in breast magnetic resonance images |
| 期刊名(Journal name) | European Journal of Radiology |
| 國際期刊(International Journal) | SCI |
| 中文摘要(Abstrct) | |
| ABSTRCT | Purpose: Breast density has been found to be a potential indicator for breast cancer risk. The estimation of
breast density can be seen as a segmentation problem on fibroglandular tissues from a breast magnetic
resonance image. The classic moment preserving is a thresholding method, which can be applied to
determine an appropriate threshold value for fibroglandular tissue segmentation.
Methods: This study proposed an adaptive moment preserving method, which combines the classic
moment preserving and a thresholding adjustment method. The breast MR images are firstly performed
to extract the fibroglandular tissue from the breast tissue. The next step is to obtain the areas of the
fibroglandular tissue and the whole breast tissue. Finally, breast density can be estimated for the given
breast.
Results: The Friedman test shows that the qualities of segmentation are insignificant with p ＜ 0.000 and
Friedman chi-squared = 1116.12. The Friedman test shows that there would be significant differences
in the sum of the ranks of at least one segmentation method. Average ranks indicate that the performance
of the four methods is ranked as adaptive moment preserving, fuzzy c-means, moment preserving,
and Kapur’s method in order. Among the four methods, adaptive moment preserving also achieves the
minimum values of MAE and RMSE with 9.2 and 12.
Conclusion: This study has verified that the proposed adaptive moment preserving can identify and segment
the fibroglandular tissues from the 2D breast MR images and estimate the degrees of breast density. |
| 中文關鍵字(Keyword) | |
| KEYWORD | Breast density
Segmentation
Breast cancer
MRI |
| 卷期(Volume No) | Vol. 81 No. 4 |
| 頁數(Page number) | pp. 618~624 |
| 年份(Year) | 2012 |
| 語言(Language) | 英文 English |