Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application

Davneet S. Minhas, Zixi Yang, John Muschelli, Charles M. Laymon, Joseph M. Mettenburg, Matthew D. Zammit, Sterling Johnson, Chester A. Mathis, Ann D. Cohen, Benjamin L. Handen, William E. Klunk, Ciprian M. Crainiceanu, Bradley T. Christian, Dana L. Tudorascu

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

Abstract

Harmonization of magnetic resonance imaging (MRI) and positron emission tomography (PET) scans from multi-scanner and multi-site studies presents a challenging problem. We applied the Removal of Artificial Voxel Effect by Linear regression (RAVEL) method to normalize T1-MRI intensities collected on two different scanners across two different sites as part of the Neurodegeneration in Aging Down syndrome (NiAD) study. The effects on FreeSurfer regional cortical thickness and volume outcome measures, in addition to FreeSurfer-based regional quantification of amyloid PET standardized uptake value ratio (SUVR) outcomes, were evaluated. A neuroradiologist visually assessed the accuracy of FreeSurfer hippocampus segmentations with and without the application of RAVEL. Quantitative results demonstrated that the application of RAVEL intensity normalization prior to running FreeSurfer significantly impacted both FreeSurfer volume and cortical thickness outcome measures. Visual assessment demonstrated that the application of RAVEL significantly improved FreeSurfer hippocampal segmentation accuracy. The RAVEL intensity normalization had little impact on PET SUVR measures.

Original languageEnglish (US)
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Proceedings
EditorsMarie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat, João Paulo Carvalho, Anna Wilbik, Bernadette Bouchon-Meunier, Ronald R. Yager
PublisherSpringer
Pages367-379
Number of pages13
ISBN (Print)9783030501525
DOIs
StatePublished - 2020
Event18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020 - Lisbon, Portugal
Duration: Jun 15 2020Jun 19 2020

Publication series

NameCommunications in Computer and Information Science
Volume1239 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020
CountryPortugal
CityLisbon
Period6/15/206/19/20

Keywords

  • Harmonization
  • MRI
  • PET

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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