Abstract
We present a tissue classifier for Magnetic Resonance Diffusion Weighted Imaging (DWI) data trained from a single subject with a single b-value. The classifier is based on a Riemannian Deep Learning framework for extracting features with rotational invariance, where we extend a G-CNN learning architecture generically on a Riemannian manifold. We validate our framework using single-shell DWI data with a very limited amount of training data - only 1 scan. The proposed framework mainly consists of three layers: a lifting layer that locally represents and convolves data on tangent spaces to produce a family of functions defined on the rotation groups of the tangent spaces, i.e., a section of a bundle of rotational functions on the manifold; a group convolution layer that convolves this section with rotation kernels to produce a new section; and a projection layer using maximisation to collapse this local data to form new manifold based functions. We present an instantiation on the 2-dimensional sphere where the DWI orientation data is in general represented, and we use it for voxel classification. We show that this allows us to learn a classifier for cerebrospinal fluid (CSF) - subcortical - grey matter - white matter classification from only one scan.
Original language | English |
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Title of host publication | Computational Diffusion MRI - 12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Proceedings |
Editors | Suheyla Cetin-Karayumak, Daan Christiaens, Matteo Figini, Pamela Guevara, Noemi Gyori, Vishwesh Nath, Tomasz Pieciak |
Publisher | Springer |
Publication date | 2021 |
Pages | 121-132 |
ISBN (Print) | 9783030876142 |
DOIs | |
Publication status | Published - 2021 |
Event | 12th International Workshop on Computational Diffusion MRI, CDMRI 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021 - Virtual, Online Duration: 1 Oct 2021 → 1 Oct 2021 |
Conference
Conference | 12th International Workshop on Computational Diffusion MRI, CDMRI 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021 |
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City | Virtual, Online |
Period | 01/10/2021 → 01/10/2021 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13006 LNCS |
ISSN | 0302-9743 |
Bibliographical note
Publisher Copyright:© 2021, Springer Nature Switzerland AG.
Keywords
- Classification
- DWI
- Geodesic CNN
- Single scan learning