Abstract
Accurate and consistent reconstruction of cortical surfaces from longitudinal human brain MR images is of great importance in studying subtle morphological changes of the cerebral cortex. This paper presents a new deformable surface method for consistent and accurate reconstruction of inner, central and outer cortical surfaces from longitudinal MR images. Specifically, the cortical surfaces of the group-mean image of all aligned longitudinal images of the same subject are first reconstructed by a deformable surface method driven by a force derived from the Laplace's equation. And then the longitudinal cortical surfaces are consistently reconstructed by jointly deforming the cortical surfaces from the group-mean image to all longitudinal images. The proposed method has been successfully applied to both simulated and real longitudinal images, demonstrating its validity.
Original language | English |
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Pages (from-to) | 671-679 |
Number of pages | 9 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 6892 LNCS |
Issue number | PART 2 |
DOIs | |
Publication status | Published - 2011 Oct 11 |
Externally published | Yes |
Keywords
- Cortical surface reconstruction
- longitudinal cortical surface
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science