Multi-site study of diffusion metric variability: Characterizing the effects of site, vendor, field strength, and echo time using the histogram distance

K. G. Helmer, M. C. Chou, R. I. Preciado, B. Gimi, N. K. Rollins, A. Song, J. Turner, Susumu Mori

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

Abstract

MRI-based multi-site trials now routinely include some form of diffusion-weighted imaging (DWI) in their protocol. These studies can include data originating from scanners built by different vendors, each with their own set of unique protocol restrictions, including restrictions on the number of available gradient directions, whether an externallygenerated list of gradient directions can be used, and restrictions on the echo time (TE). One challenge of multi-site studies is to create a common imaging protocol that will result in a reliable and accurate set of diffusion metrics. The present study describes the effect of site, scanner vendor, field strength, and TE on two common metrics: the first moment of the diffusion tensor field (mean diffusivity, MD), and the fractional anisotropy (FA). We have shown in earlier work that ROI metrics and the mean of MD and FA histograms are not sufficiently sensitive for use in site characterization. Here we use the distance between whole brain histograms of FA and MD to investigate within- and between-site effects. We concluded that the variability of DTI metrics due to site, vendor, field strength, and echo time could influence the results in multi-center trials and that histogram distance is sensitive metrics for each of these variables.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
PublisherSPIE
Volume9788
ISBN (Electronic)9781510600232
DOIs
StatePublished - 2016
EventMedical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging - San Diego, United States
Duration: Mar 1 2016Mar 3 2016

Other

OtherMedical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CitySan Diego
Period3/1/163/3/16

Fingerprint

Anisotropy
histograms
field strength
echoes
diffusivity
constrictions
scanners
anisotropy
gradients
lists
brain
Imaging techniques
Brain
tensors
moments
Magnetic resonance imaging
Tensors
Direction compound

Keywords

  • Calibration
  • Diffusion
  • Histogram distance
  • MRI
  • Multi-site study

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Helmer, K. G., Chou, M. C., Preciado, R. I., Gimi, B., Rollins, N. K., Song, A., ... Mori, S. (2016). Multi-site study of diffusion metric variability: Characterizing the effects of site, vendor, field strength, and echo time using the histogram distance. In Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging (Vol. 9788). [97881G] SPIE. https://doi.org/10.1117/12.2217449

Multi-site study of diffusion metric variability : Characterizing the effects of site, vendor, field strength, and echo time using the histogram distance. / Helmer, K. G.; Chou, M. C.; Preciado, R. I.; Gimi, B.; Rollins, N. K.; Song, A.; Turner, J.; Mori, Susumu.

Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. Vol. 9788 SPIE, 2016. 97881G.

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

Helmer, KG, Chou, MC, Preciado, RI, Gimi, B, Rollins, NK, Song, A, Turner, J & Mori, S 2016, Multi-site study of diffusion metric variability: Characterizing the effects of site, vendor, field strength, and echo time using the histogram distance. in Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. vol. 9788, 97881G, SPIE, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, United States, 3/1/16. https://doi.org/10.1117/12.2217449
Helmer KG, Chou MC, Preciado RI, Gimi B, Rollins NK, Song A et al. Multi-site study of diffusion metric variability: Characterizing the effects of site, vendor, field strength, and echo time using the histogram distance. In Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. Vol. 9788. SPIE. 2016. 97881G https://doi.org/10.1117/12.2217449
Helmer, K. G. ; Chou, M. C. ; Preciado, R. I. ; Gimi, B. ; Rollins, N. K. ; Song, A. ; Turner, J. ; Mori, Susumu. / Multi-site study of diffusion metric variability : Characterizing the effects of site, vendor, field strength, and echo time using the histogram distance. Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. Vol. 9788 SPIE, 2016.
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