Automated In-line Normalization Procedure for BOLD-CVR Using the Resting-State Temporal Shift with Machine Learning

We demonstrate feasibility of learning unaffected reference voxel CVR signatures for BOLD-CVR MRI. The approach facilitates extension of brain CVR beyond existing constraints in subjects with bilateral disease.

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Publication Details

Journal
American Journal of Neuroradiology
Published
2026-02-25
DOI
https://doi.org/10.3174/ajnr.a9267
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
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article

Automated In-line Normalization Procedure for BOLD-CVR Using the Resting-State Temporal Shift with Machine Learning

Jon̈athan R. Polimeni, Seena Dehkharghani, Xiuyuan Wang, Siddhant Dogra et al.
American Journal of Neuroradiology
Seismic Imaging and Inversion Techniques
article

Automated In-line Normalization Procedure for BOLD-CVR Using the Resting-State Temporal Shift with Machine Learning

Jon̈athan R. Polimeni, Seena Dehkharghani, Xiuyuan Wang, Siddhant Dogra, Yihui Zhu
article en

Abstract

We demonstrate feasibility of learning unaffected reference voxel CVR signatures for BOLD-CVR MRI. The approach facilitates extension of brain CVR beyond existing constraints in subjects with bilateral disease.

American Journal of Neuroradiology
Cornell University (US), New York University (US)
Openalex Percentile: Top 58%
Seismic Imaging and Inversion Techniques
DOIOpen Access PDFOpenAlex
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