Name
Title | ||
|---|---|---|
A novel cortical thickness estimation method based on volumetric Laplace-Beltrami operator and heat kernel. |
Abstract | ||
|---|---|---|
•A high-quality tetrahedral mesh suitable to represent cortical structures.•A volumetric Laplace–Beltrami operator to achieve the sub-voxel accuracy with a strong theoretic guarantee.•A heat kernel based method to accurately estimate the streamlines with intrinsic and global geometry information.•A novel data structure, half-face structure, for efficient tetrahedral mesh access.•Experiments on synthetic and ADNI data showed promising results. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.media.2015.01.005 | Medical Image Analysis |
Keywords | Field | DocType |
Cortical thickness,Heat kernel,Spectral analysis,Tetrahedral mesh,False discovery rate | Laplace–Beltrami operator,White matter,Pattern recognition,Heat transfer,Heat kernel,Artificial intelligence,Operator (computer programming),Neuroimaging,Mathematics,Magnetic resonance imaging,Computation | Journal |
Volume | Issue | ISSN |
22 | 1 | 1361-8415 |
Citations | PageRank | References |
8 | 0.77 | 45 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gang Wang | 1 | 29 | 2.48 |
| Xiaofeng Zhang | 2 | 78 | 8.90 |
| Qingtang Su | 3 | 176 | 16.90 |
| Jie Shi | 4 | 92 | 8.41 |
| Richard J. Caselli | 5 | 54 | 10.20 |
| Yalin Wang | 6 | 1042 | 79.53 |