Evaluation of diffusion imaging protocols for the Alzheimer's disease neuroimaging initiative

L. Zhan, Matthew A Bernstein, B. Borowski, Clifford R Jr. Jack, P. M. Thompson

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

3 Citations (Scopus)

Abstract

Diffusion-weighted imaging (DWI) provides information on brain integrity and connectivity, based on mapping the directional diffusion of water along the brain's neural pathways. The latest stage of the Alzheimer's Disease Neuroimaging Initiative, ADNI-2, added a 9-minute 41-gradient DWI protocol. To study the potential benefits of adjusting the number of diffusion-weighted gradients, here we scanned 3 young adults with the ADNI DWI protocol and 3 variants reducing the voxel size, increasing the repetition time (TR), and increasing the number of diffusion-weighted directions. In a small pilot evaluation, we compared the signal-to-noise ratio (SNR) of diffusion tensor-derived fractional anisotropy (FA), as well as three standard graph theory measures, to assess protocol effects on anatomical network efficiency, clustering and modularity. The protocol with smaller voxels gave rise to more detected fibers in whole-brain tractography, but no protocol advantages were detectable in the small sample; all gave comparable FA SNR, connectivity and network measures.

Original languageEnglish (US)
Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages710-713
Number of pages4
ISBN (Print)9781467319591
StatePublished - Jul 29 2014
Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing
Duration: Apr 29 2014May 2 2014

Other

Other2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
CityBeijing
Period4/29/145/2/14

Fingerprint

Neuroimaging
Alzheimer Disease
Imaging techniques
Brain
Anisotropy
Signal-To-Noise Ratio
Signal to noise ratio
Neural Pathways
Graph theory
Tensors
Cluster Analysis
Young Adult
Water
Fibers

Keywords

  • Anisotropy
  • Brain network
  • Connectivity
  • Diffusion MRI
  • Protocol
  • SNR

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Zhan, L., Bernstein, M. A., Borowski, B., Jack, C. R. J., & Thompson, P. M. (2014). Evaluation of diffusion imaging protocols for the Alzheimer's disease neuroimaging initiative. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 710-713). [6867969] Institute of Electrical and Electronics Engineers Inc..

Evaluation of diffusion imaging protocols for the Alzheimer's disease neuroimaging initiative. / Zhan, L.; Bernstein, Matthew A; Borowski, B.; Jack, Clifford R Jr.; Thompson, P. M.

2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 710-713 6867969.

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

Zhan, L, Bernstein, MA, Borowski, B, Jack, CRJ & Thompson, PM 2014, Evaluation of diffusion imaging protocols for the Alzheimer's disease neuroimaging initiative. in 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014., 6867969, Institute of Electrical and Electronics Engineers Inc., pp. 710-713, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Beijing, 4/29/14.
Zhan L, Bernstein MA, Borowski B, Jack CRJ, Thompson PM. Evaluation of diffusion imaging protocols for the Alzheimer's disease neuroimaging initiative. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 710-713. 6867969
Zhan, L. ; Bernstein, Matthew A ; Borowski, B. ; Jack, Clifford R Jr. ; Thompson, P. M. / Evaluation of diffusion imaging protocols for the Alzheimer's disease neuroimaging initiative. 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 710-713
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