Abstract #2563

Computational assessment of enlarged perivascular spaces on brain magnetic resonance images in Vascular Dementia patients.

Martha Singh¹, Anuja Pradhan², Mustafa Salimeen², Habib Tafawa², Xianjun Li², Miaomiao Wang², Congcong Liu², Guanyu Yang³, Qu Qiumin⁴, and Jian Yang^2,5

¹Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China, ²The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China, ³Xi’an AccuRad Network and technology Co. Ltd, Xi'an, China, ⁴Department of neurology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China, ⁵Department of Biomedical Engineering, School of Life Science and Technology, Xi’an, China, Xi'an, China

Enlarged perivascular spaces (EPVS) are common in Vascular Dementia (VaD) patients, associated with aging, inflammation, etc. Many studies address EPVS as it is related to count and volume but very few on the density using 3T MRI. Our aim in this study is to describe an effective and user-friendly computational method to aid in the perivascular spaces segmentation to yield EPVS count, volume and density in VaD patients. EPVS count, volume and density are significantly greater than in the control group (P<0.05). The results suggest that computational assessment of EPVS can further aid in an early diagnostic of VaD.

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