Angular resolution enhancement of diffusion MRI data using inter-subject information transfer

Geng Chen, Pei Zhang, Ke Li, Chong Yaw Wee, Yafeng Wu, Dinggang Shen, Pew Thian Yap

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Diffusion magnetic resonance imaging is widely used to investigate diffusion patterns of water molecules in the human brain. It provides information that is useful for tracing axonal bundles and inferring brain connectivity. Diffusion axonal tracing, namely tractography, relies on local directional information provided by the orientation distribution functions (ODFs) estimated at each voxel. To accurately estimate ODFs, data of good signal-to-noise ratio and sufficient angular samples are desired, but unfortunately, are not always practically available. In this paper, we propose to improve ODF estimation by using inter-subject correlation. Specifically, diffusion-weighted images acquired from different subjects, when transformed to the space of a target subject, can not only provide signal denoising with additional information, but also drastically increase the number of angular samples for better ODF estimation. This is largely because of the incoherence of the angular samples generated when the diffusion signals are reoriented and warped to the target space. Experiments on both synthetic data and real data show that our method can reduce noise-induced artifacts, such as spurious ODF peaks, and yield more coherent orientations.

Original languageEnglish
Title of host publicationMathematics and Visualization
PublisherSpringer Heidelberg
Pages145-157
Number of pages13
Volumenone
ISBN (Print)9783319285863
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventWorkshop on Computational Diffusion MRI, MICCAI 2015 - Munich, Germany
Duration: 2015 Oct 92015 Oct 9

Publication series

NameMathematics and Visualization
Volumenone
ISSN (Print)16123786
ISSN (Electronic)2197666X

Other

OtherWorkshop on Computational Diffusion MRI, MICCAI 2015
CountryGermany
CityMunich
Period15/10/915/10/9

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Applied Mathematics
  • Geometry and Topology
  • Modelling and Simulation

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  • Cite this

    Chen, G., Zhang, P., Li, K., Wee, C. Y., Wu, Y., Shen, D., & Yap, P. T. (2016). Angular resolution enhancement of diffusion MRI data using inter-subject information transfer. In Mathematics and Visualization (Vol. none, pp. 145-157). (Mathematics and Visualization; Vol. none). Springer Heidelberg. https://doi.org/10.1007/978-3-319-28588-7_13