Registration by Regression (RbR): a framework for interpretable and flexible atlas registration

arXiv:2404.16781v1 Announce Type: new
Abstract: In human neuroimaging studies, atlas registration enables mapping MRI scans to a common coordinate frame, which is necessary to aggregate data from multiple subjects. Machine learning registration methods have achieved excellent speed and accuracy but lack interpretability. More recently, keypoint-based methods have been proposed to tackle this issue, but their accuracy is still subpar, particularly when fitting nonlinear transforms. Here we propose Registration by Regression (RbR), a novel atlas registration framework that is highly robust …

abstract accuracy aggregate data arxiv atlas cs.cv data framework human interpretability machine machine learning mapping mri multiple neuroimaging registration regression scans speed studies type