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Development and initial evaluation of a semi-automatic approach to assess perivascular spaces on conventional magnetic resonance images

机译:半自动方法的开发和初步评估以评估常规磁共振图像上的血管周围空间

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摘要

class="kwd-title">Keywords: Virchow–Robin spaces, Perivascular spaces, MRI, Small vessel disease class="kwd-title">Abbreviations: WMH, white matter hyperintensities; PVS, perivascular spaces; BG, basal ganglia; CS, centrum semiovale; T1W, T1-weighted MRI sequence; T2W, T2-weighted MRI sequence; PVH, periventricular white matter hyperintensities; DWMH, deep white matter hyperintensities; SVD, small vessel disease class="head no_bottom_margin" id="idm139670669491920title">AbstractPurposePerivascular spaces (PVS) are associated with ageing, cerebral small vessel disease, inflammation and increased blood brain barrier permeability. Most studies to date use visual rating scales to assess PVS, but these are prone to observer variation.
机译:<!-fig ft0-> <!-fig @ position =“ anchor” mode =文章f4-> <!-fig mode =“ anchred” f5-> <!-fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> class =“ kwd-title”>关键字: Virchow-罗宾空间,血管周空间,MRI,小血管疾病 class =“ kwd-title “>缩写: WMH,白质过高; PVS,血管周围空间; BG,基底节; CS,中心半卵形; T1W,T1加权MRI序列; T2W,T2加权MRI序列; PVH,脑室白质过高; DWMH,深白质高信号; SVD,小血管疾病 class =“ head no_bottom_margin” id =“ idm139670669491920title”>摘要目的血管周围血管(PVS)与衰老,脑小血管疾病,炎症和血脑屏障通透性增加有关。迄今为止,大多数研究都使用视觉评级量表来评估PVS,但这些观测值容易出现观察者差异。

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