3 Result(s)
within
Pina C. Sanelli
Computer Science
Artificial Intelligence
Computer Graphics
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Chapter and Conference Paper
Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion
Acute brain diseases such as acute stroke and transit ischemic attacks are the leading causes of mortality and morbidity worldwide, responsible for 9% of total death every year. ‘Time is brain’ is a widely acc...
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Chapter and Conference Paper
Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion
Sparse perfusion deconvolution has been recently proposed to effectively improve the image quality and diagnostic accuracy of low-dose perfusion CT by extracting the complementary information from the high-dos...
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Chapter and Conference Paper
Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries
Computational tomography perfusion (CTP) is an important functional imaging modality in the evaluation of cerebrovascular diseases, such as stroke and vasospasm. However, the post-processed parametric maps of ...
