Name
Abstract | ||
|---|---|---|
The extraction of brain tissue from brain MRI images is an important pre-procedure for the neuroimaging analyses. The brain is bilaterally symmetric both in coronal plane and transverse plane, but is usually asymmetric in sagittal plane. To address the over-smoothness, boundary leakage, local convergence and asymmetry problems in many popular methods, we developed a brain extraction method using an active contour neighborhood-based graph cuts model. The method defined a new asymmetric assignment of edge weights in graph cuts for brain MRI images. The new graph cuts model was performed iteratively in the neighborhood of brain boundary named the active contour neighborhood (ACN), and was effective to eliminate boundary leakage and avoid local convergence. The method was compared with other popular methods on the Internet Brain Segmentation Repository (IBSR) and OASIS data sets. In testing cross IBSR data set (18 scans with 1.5 mm thickness), IBSR data set (20 scans with 3.1 mm thickness) and OASIS data set (77 scans with 1 mm thickness), the mean Dice similarity coefficients obtained by the proposed method were 0.957 +/- 0.013, 0.960 +/- 0.009 and 0.936 +/- 0.018 respectively. The result obtained by the proposed method is very similar with manual segmentation and achieved the best mean Dice similarity coefficient on IBSR data. Our experiments indicate that the proposed method can provide competitively accurate results and may obtain brain tissues with sharp brain boundary from brain MRI images. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/sym12040559 | SYMMETRY-BASEL |
Keywords | DocType | Volume |
brain extraction,graph cuts,MRI volume | Journal | 12 |
Issue | Citations | PageRank |
4 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shaofeng Jiang | 1 | 70 | 6.72 |
| Yu Wang | 2 | 0 | 0.34 |
| Xuxin Zhou | 3 | 0 | 0.34 |
| Zhen Chen | 4 | 30 | 5.97 |
| Suhua Yang | 5 | 0 | 0.34 |