Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance

Wen Zhang, Jie Shi, Jun Yu, Liang Zhan, Paul M. Thompson, Yalin Wang

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

Abstract

In order to improve the preclinical diagnose of Alzheimer's disease (AD), there is a great deal of interest in analyzing the AD related brain structural changes with magnetic resonance image (MRI) analyses. As the major features, variation of the structural connectivity and the cortical surface morphometry provide different views of structural changes to determine whether AD is present on presymptomatic patients. However, the large scale tensor-valued information and relatively low imaging resolution in diffusion MRI (dMRI) have created huge challenges for analysis. In this paper, we propose a novel framework that improves dMRI analysis power by fusing cortical surface morphometry features from structural MRI (sMRI). We first compute the hyperbolic harmonic maps between cortical surfaces with the landmark constraints thus to precisely evaluate surface tensor-based morphometry. Meanwhile, the graph-based analysis of structural connectivity derived from dMRI is conducted. Next, we fuse these two features via the optimal mass transportation (OMT) and eventually the Wasserstein distance (WD) based single image index is computed as a potential clinical multimodality imaging score. We apply our framework to brain images of 20 AD patients and 20 matched healthy controls, randomly chosen from the Alzheimer's Disease Neuroimaging Initiative (ADNI2) dataset. Our preliminary experimental results of group classification outperformed those of some other single dMRI-based features, such as regional hippocampal volume, mean scores of fractional anisotropy (FA) and mean axial (MD). The novel image fusion pipeline and simple imaging score of structural changes may benefit the preclinical AD and AD prevention research.

Original languageEnglish (US)
Title of host publication2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
PublisherIEEE Computer Society
Pages520-524
Number of pages5
ISBN (Electronic)9781509011711
DOIs
StatePublished - Jun 15 2017
Event14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia
Duration: Apr 18 2017Apr 21 2017

Other

Other14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
CountryAustralia
CityMelbourne
Period4/18/174/21/17

Fingerprint

Magnetic resonance
Alzheimer Disease
Magnetic Resonance Spectroscopy
Diffusion Magnetic Resonance Imaging
Magnetic resonance imaging
Tensors
Brain
Mass transportation
Neuroimaging
Imaging techniques
Image fusion
Anisotropy
Medical imaging
Electric fuses
White Matter
Gray Matter
Pipelines
Research

Keywords

  • Alzheimer's Disease
  • Fusion
  • Graph Laplacian
  • Morphometry
  • Wasserstein Distance

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Zhang, W., Shi, J., Yu, J., Zhan, L., Thompson, P. M., & Wang, Y. (2017). Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance. In 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017 (pp. 520-524). [7950574] IEEE Computer Society. https://doi.org/10.1109/ISBI.2017.7950574

Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance. / Zhang, Wen; Shi, Jie; Yu, Jun; Zhan, Liang; Thompson, Paul M.; Wang, Yalin.

2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, 2017. p. 520-524 7950574.

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

Zhang, W, Shi, J, Yu, J, Zhan, L, Thompson, PM & Wang, Y 2017, Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance. in 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017., 7950574, IEEE Computer Society, pp. 520-524, 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, 4/18/17. https://doi.org/10.1109/ISBI.2017.7950574
Zhang W, Shi J, Yu J, Zhan L, Thompson PM, Wang Y. Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance. In 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society. 2017. p. 520-524. 7950574 https://doi.org/10.1109/ISBI.2017.7950574
Zhang, Wen ; Shi, Jie ; Yu, Jun ; Zhan, Liang ; Thompson, Paul M. ; Wang, Yalin. / Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance. 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, 2017. pp. 520-524
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