Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Post-acquisition processing confounds in brain volumetric quantification of white matter hyperintensities.

Ahmed A Bahrani | Omar M Al-Janabi | Erin L Abner | Shoshana H Bardach | Richard J Kryscio | Donna M Wilcock | Charles D Smith | Gregory A Jicha
Journal of neuroscience methods | 2019

Disparate research sites using identical or near-identical magnetic resonance imaging (MRI) acquisition techniques often produce results that demonstrate significant variability regarding volumetric quantification of white matter hyperintensities (WMH) in the aging population. The sources of such variability have not previously been fully explored.

Pubmed ID: 31408649

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NIA NIH HHS, United States
    Id: R01 AG042419
  • Agency: NINR NIH HHS, United States
    Id: R01 NR014189
  • Agency: NIA NIH HHS, United States
    Id: P30 AG028383
  • Agency: NIA NIH HHS, United States
    Id: R01 AG057187
  • Agency: NINDS NIH HHS, United States
    Id: UH2 NS100606
  • Agency: NINDS NIH HHS, United States
    Id: UH3 NS100606

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


SPM (tool)

RRID:SCR_007037

Software package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.

View all literature mentions

MIPAV: Medical Image Processing and Visualization (tool)

RRID:SCR_007371

A Java-based application that enables quantitative analysis and visualization of medical images of numerous modalities such as DTI, PET, MRI, CT, or microscopy. Using MIPAV's standard user-interface and analysis tools, researchers at remote sites (via the internet) can easily share research data and analyses, thereby enhancing their ability to research, diagnose, monitor, and treat medical disorders. MIPAV can be run on any Java-enabled platform such as Windows, UNIX, or Macintosh OS X. Functionality includes segmentation, inter- and intra multi-modality registration, surface rendering, volume rendering and reading and writing a large number of biomedical file formats including: DICOM 3.0, Analyze, NIFTI, SPM, MINC, Phillips, GE, Zeiss, Biorad, jpeg, png, tiff, mrc, fits, interfile, and many more.

View all literature mentions