A critical guide to the automated quantification of perivascular spaces in magnetic resonance imaging

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SUMMARY

    Using visual rating scales, the severity of PVS enlargement has been associated with and subsequently proposed as a potential biomarker of various neurodegenerative disorders such as cerebral small vessel disease, AD, neuroinflammation in multiple_sclerosis, and cerebral amyloid angiopathies (Hansen et_al, 2015; Bakker et_al, 2016; Ramirez et_al, 2016; Rasmussen et_al, 2018; Granberg et_al, 2020). Many grading scales have been developed to quantitatively assess the severity of PVS in MRI (Patankar et_al, 2005; Adams et_al, 2013; Wardlaw et_al, 2013; Laveskog et_al, 2018; Paradise et_al, 2020). Several studies have published automated methods for segmenting perivascular spaces. Despite . . .

     

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