Tissue-specific sparse deconvolution for brain CT perfusion ?
Tissue-specific deconvolution is proposed to preserve the low-contrast tissues. Tissue-specific dictionaries are learned from tissue segments of high-dose maps. Weighted sparse deconvolution is based on the tissue classification probability. A unified reconstruction framework for the low-dose perfusion deconvolution. Outperforms state-of-art in extensive evaluation on clinical datasets.
tissue-specific deconvolution low-dose ct perfusion dictionary learning ischemic detection