Published 2014
| Version v1
Conference paper
Direct native-space fiber bundle alignment for group comparisons
Contributors
Others:
- Sherbrooke Connectivity Imaging Lab [Sherbrooke] (SCIL) ; Département d'informatique [Sherbrooke] (UdeS) ; Faculté des sciences [Sherbrooke] (UdeS) ; Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS)-Faculté des sciences [Sherbrooke] (UdeS) ; Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS)
- Computational Imaging of the Central Nervous System (ATHENA) ; Centre Inria d'Université Côte d'Azur (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- SCIL - Université de Sherbrooke
Description
Let's suppose that we want to study specific fiber bundles in different subjects. The common approach would be to use a voxel-wise analysis like TBSS or VBM which will warp scalar volumes in a common space, e.g. MNI space, and show how every subject differentiates from an average template. However, we know that with averaging and warping much of the specific information about the individual subjects' differences is lost. In this work, we provide a solution to this problem by using local streamline registration of specific bundles from different subjects. We show that with this new method we can keep track of the differences from every subject to every other subject in our group study.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://inria.hal.science/hal-00991740
- URN
- urn:oai:HAL:hal-00991740v1
Origin repository
- Origin repository
- UNICA