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Abstract #0013

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

Julia V. Velikina1, Alexey A. Samsonov2

1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States; 2Radiology, University of Wisconsin - Madison

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.

Keywords

accelerated acceleration accepting achievable achieved acknowledge analytical anatomy aneurysms angiography applicable applications approximated artery artifacts assume assumption assumptions available basis beginning behavior better blocky breath central certain chosen clinical close coefficients coil combination components compressed conditioned consistency constructed context contrast dash dashed decomposition decreased depends described deviations distinguishing dotted dynamic examination examining exhibit feeding fidelity financial frames fully geophysics good gradually highly hybrid impractical indicated injection institution inverse iterative iteratively lack learn learned least limited linear linearized local mapping matrix minimization misrepresentation model nature noise norm ones operator optimality oscillatory particular pathological patient physics pixel pixels postulates practice premature problem projection projections promoting proposed quality radial radically reconstructed reconstruction reformatted regularization regularized reliable relies representation representative requires resolution rest restate robustness sampling satisfying scanned scanner sense sensing series several slice slices solid solves space sparsity spatial squares subsequent subspace support synthesis system temporal term theoretical theory training validated vessels waveform waveforms