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MidRISH: Unbiased harmonization of rotationally invariant harmonics of the diffusion signal.
- Source :
-
Magnetic resonance imaging [Magn Reson Imaging] 2024 Sep; Vol. 111, pp. 113-119. Date of Electronic Publication: 2024 Mar 26. - Publication Year :
- 2024
-
Abstract
- Data harmonization is necessary for removing confounding effects in multi-site diffusion image analysis. One such harmonization method, LinearRISH, scales rotationally invariant spherical harmonic (RISH) features from one site ("target") to the second ("reference") to reduce confounding scanner effects. However, reference and target site designations are not arbitrary and resultant diffusion metrics (fractional anisotropy, mean diffusivity) are biased by this choice. In this work we propose MidRISH: rather than scaling reference RISH features to target RISH features, we project both sites to a mid-space. We validate MidRISH with the following experiments: harmonizing scanner differences from 37 matched patients free of cognitive impairment, and harmonizing acquisition and study differences on 117 matched patients free of cognitive impairment. We find that MidRISH reduces bias of reference selection while preserving harmonization efficacy of LinearRISH. Users should be cautious when performing LinearRISH harmonization. To select a reference site is to choose diffusion metric effect-size. Our proposed method eliminates the bias-inducing site selection step.<br /> (Copyright © 2024 Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Female
Male
Image Processing, Computer-Assisted methods
Reproducibility of Results
Brain diagnostic imaging
Diffusion Magnetic Resonance Imaging methods
Anisotropy
Aged
Middle Aged
Diffusion Tensor Imaging methods
Cognitive Dysfunction diagnostic imaging
Image Interpretation, Computer-Assisted methods
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 1873-5894
- Volume :
- 111
- Database :
- MEDLINE
- Journal :
- Magnetic resonance imaging
- Publication Type :
- Academic Journal
- Accession number :
- 38537892
- Full Text :
- https://doi.org/10.1016/j.mri.2024.03.033