Open AccessTexture Analysis of T1-Weighted and Fluid-Attenuated Inversion Recovery Images Detects Abnormalities That Correlate With Cognitive Decline in Small Vessel Disease
Author(s) -
Daniel J. Tozer,
Eva Zeestraten,
Andrew J. Lawrence,
Thomas R. Barrick,
Hugh S. Markus
Publication year - 2018
Publication title -
stroke
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.397
H-Index - 319
eISSN - 1524-4628
pISSN - 0039-2499
DOI - 10.1161/strokeaha.117.019970
Subject(s) - magnetic resonance imaging , dementia , medicine , fluid attenuated inversion recovery , cognitive decline , neuroimaging , hyperintensity , population , cardiology , disease , radiology , psychiatry , environmental health
Magnetic resonance imaging may be useful to assess disease severity in cerebral small vessel disease (SVD), identify those individuals who are most likely to progress to dementia, monitor disease progression, and act as surrogate markers to test new therapies. Texture analysis extracts information on the relationship between signal intensities of neighboring voxels. A potential advantage over techniques, such as diffusion tensor imaging, is that it can be used on clinically obtained magnetic resonance sequences. We determined whether texture parameters (TP) were abnormal in SVD, correlated with cognitive impairment, predicted cognitive decline, or conversion to dementia.