Robust construction of diffusion mri atlases with correction for inter-subject fiber dispersion

Zhanlong Yang, Geng Chen, Dinggang Shen, Pew Thian Yap

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

1 Citation (Scopus)

Abstract

Construction of brain atlases is generally carried out using a two-step procedure involving registering a population of images to a common space and then fusing the aligned images to form an atlas. In practice, image registration is not perfect and simple averaging of the images will blur structures and cause artifacts. In diffusion MRI, this is further complicated by the possibility of within-voxel fiber misalignment due to natural inter-subject orientation dispersion. In this paper, we propose a method to improve the construction of diffusion atlases in light of inter-subject fiber dispersion. Our method involves a novel q-space (i.e., wavevector space) patch matching mechanism that is incorporated in a mean shift algorithm to seek the most probable signal at each point in q-space. Our method relies on the fact that the mean shift algorithm is a mode seeking algorithm that converges to the mode of a distribution and is hence robustness to outliers. Our method is therefore in effect seeking the most probable signal profile at each voxel given a distribution of profiles. Experimental results confirm that our method yields cleaner fiber orientation distribution functions with less artifacts caused by dispersion.

Original languageEnglish
Title of host publicationComputational Diffusion MRI - MICCAI Workshop
PublisherSpringer Heidelberg
Pages113-121
Number of pages9
VolumePart F2
ISBN (Print)9783319541297
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventMICCAI Workshop on Computational Diffusion MRI, CDMRI 2016 - Athens, Greece
Duration: 2016 Oct 172016 Oct 21

Publication series

NameMathematics and Visualization
VolumePart F2
ISSN (Print)1612-3786
ISSN (Electronic)2197-666X

Other

OtherMICCAI Workshop on Computational Diffusion MRI, CDMRI 2016
CountryGreece
CityAthens
Period16/10/1716/10/21

Fingerprint

Atlas
Fiber
Fibers
Mean Shift
Voxel
Probable
Image registration
Fiber reinforced materials
Magnetic resonance imaging
Distribution functions
Brain
Fiber Orientation
Misalignment
Image Registration
Outlier
Patch
Averaging
Distribution Function
Robustness
Converge

ASJC Scopus subject areas

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

Cite this

Yang, Z., Chen, G., Shen, D., & Yap, P. T. (2017). Robust construction of diffusion mri atlases with correction for inter-subject fiber dispersion. In Computational Diffusion MRI - MICCAI Workshop (Vol. Part F2, pp. 113-121). (Mathematics and Visualization; Vol. Part F2). Springer Heidelberg. https://doi.org/10.1007/978-3-319-54130-3_9

Robust construction of diffusion mri atlases with correction for inter-subject fiber dispersion. / Yang, Zhanlong; Chen, Geng; Shen, Dinggang; Yap, Pew Thian.

Computational Diffusion MRI - MICCAI Workshop. Vol. Part F2 Springer Heidelberg, 2017. p. 113-121 (Mathematics and Visualization; Vol. Part F2).

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

Yang, Z, Chen, G, Shen, D & Yap, PT 2017, Robust construction of diffusion mri atlases with correction for inter-subject fiber dispersion. in Computational Diffusion MRI - MICCAI Workshop. vol. Part F2, Mathematics and Visualization, vol. Part F2, Springer Heidelberg, pp. 113-121, MICCAI Workshop on Computational Diffusion MRI, CDMRI 2016, Athens, Greece, 16/10/17. https://doi.org/10.1007/978-3-319-54130-3_9
Yang Z, Chen G, Shen D, Yap PT. Robust construction of diffusion mri atlases with correction for inter-subject fiber dispersion. In Computational Diffusion MRI - MICCAI Workshop. Vol. Part F2. Springer Heidelberg. 2017. p. 113-121. (Mathematics and Visualization). https://doi.org/10.1007/978-3-319-54130-3_9
Yang, Zhanlong ; Chen, Geng ; Shen, Dinggang ; Yap, Pew Thian. / Robust construction of diffusion mri atlases with correction for inter-subject fiber dispersion. Computational Diffusion MRI - MICCAI Workshop. Vol. Part F2 Springer Heidelberg, 2017. pp. 113-121 (Mathematics and Visualization).
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