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Intensity warping for multisite MRI harmonization.

J Wrobel1, M L Martin2, R Bakshi3

  • 1Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, USA.

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|August 18, 2020
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Summary
This summary is machine-generated.

Technical variations across scanners in multisite neuroimaging studies can be addressed. Our new tool, mica (multisite image harmonization by cumulative distribution function alignment), effectively removes scanner effects for more consistent results.

Keywords:
Elsarticle.clsImage harmonizationIntensity normalizationMultisite imagingWarping

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Area of Science:

  • Neuroimaging
  • Medical Imaging Analysis

Background:

  • Multisite neuroimaging studies face technical variations across scanners and sites, known as scanner effects.
  • These effects can impede the detection of biological features, leading to inconsistent results and spurious associations.

Purpose of the Study:

  • To establish a method for removing scanner effects by utilizing multiple scans from the same subject.
  • To develop a technique for quantifying scanner effects in large multisite studies for preprocessing reduction.

Main Methods:

  • Proposed mica (multisite image harmonization by cumulative distribution function alignment) tool.
  • Leveraged multiple scans from the same subject to identify and remove within-subject scanner effects.
  • Illustrated scanner effects in a brain MRI study with subjects scanned on seven different scanners.

Main Results:

  • Unharmonized images showed significant variability across sites and scanner types.
  • The mica method effectively removed variability by aligning intensity distributions.
  • Cross-validation demonstrated the ability to predict harmonization results for new sites.

Conclusions:

  • The mica tool successfully harmonizes neuroimaging data across different scanners.
  • This harmonization is crucial for reducing technical variability in multisite studies.
  • The method enhances the reliability and consistency of neuroimaging research findings.