Nonlinear registration of diffusion MR images based on fiber bundles. Academic Article uri icon

Overview

abstract

  • In this paper, we explore the use of fiber bundles extracted from diffusion MR images for a nonlinear registration algorithm. We employ a white matter atlas to automatically label major fiber bundles and to establish correspondence between subjects. We propose a polyaffine framework to calculate a smooth and invertible nonlinear warp field based on these correspondences, and derive an analytical solution for the reorientation of the tensor fields under the polyaffine transformation. We demonstrate our algorithm on a group of subjects and show that it performs comparable to a higher dimensional nonrigid registration algorithm.

publication date

  • January 1, 2007

Research

keywords

  • Algorithms
  • Artificial Intelligence
  • Brain
  • Diffusion Magnetic Resonance Imaging
  • Image Enhancement
  • Image Interpretation, Computer-Assisted
  • Imaging, Three-Dimensional
  • Nerve Fibers, Myelinated
  • Pattern Recognition, Automated

Identity

Scopus Document Identifier

  • 79551681682

Digital Object Identifier (DOI)

  • 10.1007/978-3-540-75757-3_43

PubMed ID

  • 18051078

Additional Document Info

volume

  • 10

issue

  • Pt 1