Longitudinal Harmonization for Improving Tractography in Baby Diffusion MRI

Khoi Minh Huynh, Jaeil Kim, Geng Chen, Ye Wu, Dinggang Shen, Pew Thian Yap

Research output: Contribution to journalConference article

Abstract

The human brain develops very rapidly in the first years of life, resulting in significant changes in water diffusion anisotropy. Developmental changes pose significant challenges to longitudinally consistent white matter tractography. In this paper, we will introduce a method to harmonize infant diffusion MRI data longitudinally across time. Specifically, we harmonize diffusion MRI data collected at an earlier time point to data collected at a later time point. This will promote longitudinal consistency and allow sharpening of fiber orientation distribution functions (ODFs) based on information available at the later time point. For this purpose, we will introduce an approach that is based on the method of moments, which allows harmonization to be performed directly on the diffusion-attenuated signal without the need to fit any diffusion models to the data. Given two diffusion MRI datasets, our method harmonizes them voxel-wise using well-behaving mapping functions (i.e., monotonic, diffeomorphic, etc.), parameters of which are determined by matching the spherical moments (i.e., mean, variance, skewness, etc.) of signal measurements on each shell. The mapping functions we use is isotropic and does not introduce new orientations that are not already in the original data. Our analysis indicates that longitudinal harmonization sharpens ODFs and improves tractography in infant diffusion MRI.

Original languageEnglish
Pages (from-to)183-191
Number of pages9
JournalMathematics and Visualization
Issue number226249
DOIs
Publication statusPublished - 2019 Jan 1
Externally publishedYes
EventInternational Workshop on Computational Diffusion MRI, CDMRI 2018 held with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 - Granada, Spain
Duration: 2018 Sep 202018 Sep 20

Fingerprint

Magnetic resonance imaging
Distribution Function
Distribution functions
Monotonic Function
Fiber Orientation
Method of Moments
Voxel
Diffusion Model
Skewness
Fiber reinforced materials
Method of moments
Anisotropy
Shell
Brain
Moment
Water

Keywords

  • Diffusion MRI
  • Longitudinal harmonization
  • Method of moments
  • Tractography

ASJC Scopus subject areas

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

Cite this

Longitudinal Harmonization for Improving Tractography in Baby Diffusion MRI. / Huynh, Khoi Minh; Kim, Jaeil; Chen, Geng; Wu, Ye; Shen, Dinggang; Yap, Pew Thian.

In: Mathematics and Visualization, No. 226249, 01.01.2019, p. 183-191.

Research output: Contribution to journalConference article

Huynh, Khoi Minh ; Kim, Jaeil ; Chen, Geng ; Wu, Ye ; Shen, Dinggang ; Yap, Pew Thian. / Longitudinal Harmonization for Improving Tractography in Baby Diffusion MRI. In: Mathematics and Visualization. 2019 ; No. 226249. pp. 183-191.
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