Name
Title | ||
|---|---|---|
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction |
Abstract | ||
|---|---|---|
Convolutional Neural Networks (CNNs) have achieved overwhelming success in learning-related problems for 2D/3D images in the Euclidean space. However, unlike in the Euclidean space, the shapes of many structures in medical imaging have an inherent spherical topology in a manifold space, e.g., the convoluted brain cortical surfaces represented by triangular meshes. There is no consistent neighborhood definition and thus no straightforward convolution/pooling operations for such cortical surface data. In this paper, leveraging the regular and hierarchical geometric structure of the resampled spherical cortical surfaces, we create the 1-ring filter on spherical cortical triangular meshes and accordingly develop convolution/pooling operations for constructing Spherical U-Net for cortical surface data. However, the regular nature of the 1-ring filter makes it inherently limited to model fixed geometric transformations. To further enhance the transformation modeling capability of Spherical U-Net, we introduce the deformable convolution and deformable pooling to cortical surface data and accordingly propose the Spherical Deformable U-Net (SDU-Net). Specifically, spherical offsets are learned to freely deform the 1-ring filter on the sphere to adaptively localize cortical structures with different sizes and shapes. We then apply the SDU-Net to two challenging and scientifically important tasks in neuroimaging: cortical surface parcellation and cortical attribute map prediction. Both applications validate the competitive performance of our approach in accuracy and computational efficiency in comparison with state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TMI.2021.3050072 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Image Processing, Computer-Assisted,Imaging, Three-Dimensional,Neural Networks, Computer | Journal | 40 |
Issue | ISSN | Citations |
4 | 0278-0062 | 3 |
PageRank | References | Authors |
0.39 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fenqiang Zhao | 1 | 9 | 4.89 |
| Zhengwang Wu | 2 | 60 | 16.97 |
| Li Wang | 3 | 1051 | 78.25 |
| Weili Lin | 4 | 156 | 32.78 |
| John H Gilmore | 5 | 843 | 59.79 |
| shunren xia | 6 | 44 | 10.32 |
| Dinggang Shen | 7 | 7837 | 611.27 |
| Gang Li | 8 | 386 | 27.90 |