Riemann-DTI Geodesic Tractography Revisited

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Abstract

Clinical tractography is a challenging problem in diffusion tensor imaging (DTI) due to persistent validation issues. Geodesic tractography, based on a shortest path principle, is conceptually appealing, but has not produced convincing results so far. A major weakness is its rigidity with respect to candidate tracts it is capable of producing given a pair of endpoints, showing a tendency to produce false positives (such as shortcuts) and false negatives (e.g. if a shortcut supplants the correct solution). We propose a new geodesic paradigm that appears to overcome these problems, making a step towards semi-automatic clinical use. To this end we couple the DTI tensor field to a family of Riemannian metrics, governed by control parameters. In practice these parameters may allow for edits by an expert through manual selection among multiple tract suggestions, or for bringing in a priori knowledge. In this paper, however, we consider an automatic, evidence-driven procedure to determine optimal controls and corresponding tentative tracts, and illustrate the role of edits to remediate erroneous defaults.
Original languageEnglish
Title of host publicationAnisotropy Across Fields and Scales
EditorsEvren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
Place of PublicationCham
PublisherSpringer
Pages225-243
ISBN (Electronic)978-3-030-56215-1
ISBN (Print)978-3-030-56214-4
DOIs
Publication statusPublished - 11 Feb 2021

Publication series

NameMathematics and Visualization
PublisherSpringer Verlag
Volume4562
ISSN (Print)1612-3786
ISSN (Electronic)2197-666X

Keywords

  • Diffusion Tensor Imaging
  • Geodesic Tractography

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