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  1. No Access

    Chapter and Conference Paper

    STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion

    Computed tomography perfusion (CTP) is one of the most widely used imaging modality for cerebrovascular disease diagnosis and treatment, especially in emergency situations. While cerebral CTP is capable of qua...

    Yao **ao, Ajay Gupta, Pina C. Sanelli, Ruogu Fang in Machine Learning in Medical Imaging (2017)

  2. 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...

    Ruogu Fang, Pina C. Sanelli, Shaoting Zhang… in Medical Image Computing and Computer-Assis… (2014)

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  3. 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...

    Ruogu Fang, Tsuhan Chen, Pina C. Sanelli in Medical Image Computing and Computer-Assis… (2013)

    Download PDF (2759 KB)

  4. 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 ...

    Ruogu Fang, Tsuhan Chen, Pina C. Sanelli in Medical Image Computing and Computer-Assis… (2012)

    Download PDF (812 KB)