Towards the automatic computational assessment of enlarged perivascular spaces on brain magnetic resonance images: A systematic review-Reference-Cited by-同舟云学术

Towards the automatic computational assessment of enlarged perivascular spaces on brain magnetic resonance images: A systematic review

Published:2013-02-25 Issue:4 Volume:38 Page:774-785
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J. Magn. Reson. Imaging

Author:

del C. Valdés Hernández Maria¹²³,Piper Rory J.⁴,Wang Xin¹,Deary Ian J.²⁵,Wardlaw Joanna M.¹²³

Affiliation:

1. Brain Research Imaging Centre; Department of Neuroimaging Sciences; University of Edinburgh; Edinburgh United Kingdom

2. Centre for Cognitive Ageing and Cognitive Epidemiology (CCACE); University of Edinburgh; Edinburgh United Kingdom

3. SINAPSE (Scottish Imaging Network, A Platform for Scientific Excellence) collaboration; Scotland United Kingdom

4. School of Clinical Sciences; University of Edinburgh; Edinburgh United Kingdom

5. Department of Psychology; University of Edinburgh; Edinburgh United Kingdom

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jmri.24047/fullpdf

Reference56 articles.

1. Virchow-Robin spaces at MR imaging;Kwee;RadioGraphics,2007

2. Normal perivascular spaces mimicking lacunar infarction: MR imaging;Jungreis;Radiology,1988

3. Multiple prominent dilated perivascular spaces do not induce Wallerian degeneration as evaluated by diffusion tensor imaging;Akter;AJNR Am J Neuroradiol,2007

4. Dilated Virchow-Robin spaces in myotonic dystrophy: frequency, extent and significance;Costanzo;Eur Neurol,2001

5. Virchow-Robin spaces relate to cerebral small vessel disease severity;Rouhl;J Neurol,2008

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