Quantitative perfusion maps using a novelty spatiotemporal convolutional neural network
Quantitative perfusion maps using a novelty spatiotemporal convolutional neural network
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Author / Creator
Cao, Anbo , Pin-Yu, Le , Qie, Zhonghui , Haseeb Hassan , Guo, Yingwei , Zaman, Asim , Lu, Jiaxi , Zeng, Xueqiang , Yang, Huihui , Miao, Xiaoqiang , Han, Taiyu , Huang, Guangtao , Kang, Yan , Luo, Yu and Guo, Jia
Publisher
Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) is widely used to evaluate acute ischemic stroke to distinguish salvageable tissue and infarct core. For this purpose, traditional methods employ deconvolution techniques, like singular value decomposition, which are known to be vulnerable to noise, potentially distorting the deri...
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Full title
Quantitative perfusion maps using a novelty spatiotemporal convolutional neural network
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TN_cdi_proquest_journals_2900745127
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2900745127
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E-ISSN
2331-8422
