Reliability of AER across ultrasound imaging conditions

Establish whether adaptive eigenspectrum remapping (AER), including its zero-phase component analysis (ZCA) whitening implementation, performs reliably across all ultrasound imaging conditions, particularly in microvascular regimes with substantial tissue motion such as myocardial imaging.

Background

The paper introduces AER as a general framework for continuously remapping covariance eigenvalues rather than applying hard SVD cutoffs, and evaluates ZCA whitening for transcranial ultrasound localization microscopy in mouse brain datasets. Although the reported results show improved clutter suppression, trajectory density, and recovery of slow flow, the authors note that ultrasound applications involve diverse acquisition conditions and tissue-motion regimes.

The authors specifically identify myocardial imaging and other settings with significant tissue motion as challenging because estimating the relevant eigenvector subspaces becomes more difficult. They therefore leave unresolved whether AER can maintain reliable performance across such conditions.