An Application of Regularization by Model Consistency Condition to Accelerated Contrast-Enhanced Angiography

Julia V. Velikina¹, Alexey A. Samsonov²

A novel regularization by a model consistency condition is adapted for application in time-resolved contrast-enhanced intracranial angiography. The temporal behavior model is learned from low resolution training data by principal component analysis. The proposed method is shown to distinguish different filling patterns of healthy and pathological vasculature.