Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles
| Autor: | Ye Wu, Dinggang Shen, Pew Thian Yap, Sahar Ahmad, Weili Lin, Yoonmi Hong |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry Pattern recognition Article 030218 nuclear medicine & medical imaging White matter 03 medical and health sciences Mathematics::Algebraic Geometry 0302 clinical medicine medicine.anatomical_structure Discriminative model Bundle medicine Key (cryptography) Fiber bundle Artificial intelligence Representation (mathematics) business Mathematics::Symplectic Geometry Dictionary learning 030217 neurology & neurosurgery Tractography Diffusion MRI |
| Zdroj: | Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597276 MICCAI (7) Med Image Comput Comput Assist Interv |
| Popis: | In this paper, we propose an efficient framework for parcellation of white matter tractograms using discriminative dictionary learning. Key to our framework is the learning of a compact dictionary for each fiber bundle so that the streamlines within the bundle can be sufficiently represented. Dictionaries for multiple bundles are combined for whole-brain tractogram representation. These dictionaries are learned jointly to encourage inter-bundle incoherence for discriminative power. The proposed method allows tractograms to be assigned to more than one bundle, catering to scenarios where tractograms cannot be clearly separated. Experiments on a bundle-labeled HCP dataset and an infant dataset highlight the ability of our framework in grouping streamlines into anatomically plausible bundles. |
| Databáze: | OpenAIRE |
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