Results 1 to 10 of about 253 (105)

DEWS (DEep White matter hyperintensity Segmentation framework): A fully automated pipeline for detecting small deep white matter hyperintensities in migraineurs

NeuroImage: Clinical, 2018
Migraineurs show an increased load of white matter hyperintensities (WMHs) and more rapid deep WMH progression. Previous methods for WMH segmentation have limited efficacy to detect small deep WMHs.
Bo-yong Park, Mi Ji Lee, Seung-hak Lee, Jihoon Cha, Chin-Sang Chung, Sung Tae Kim, Hyunjin Park   +6 more
doaj   +6 more sources

Deep gray matters iron deposition is positively associated with white matter hyperintensity in hypertension

The Journal of Clinical Hypertension, 2023
The association and underlying mechanisms between iron deposition and white matter hyperintensity (WMH) remain unclear. In this study, quantitative susceptibility mapping (QSM) was used to quantify deep gray matters iron deposition and to explore the ...
Yu Su, Wenjun Wu, Ziji Qin, Chungao Li, Jie Zhao, Jiamin Kang, Youzhi Wang, Chuansheng Zheng, Ewart Mark Haacke, Lixia Wang   +9 more
doaj   +4 more sources

Association between periventricular hyperintensity or deep white matter hyperintensity and outcomes of patients with ischemic stroke

Frontiers in Neurology
IntroductionThis study investigates the association between white matter hyperintensities (WMH), specifically periventricular hyperintensity (PVH) and deep white matter hyperintensity (DWMH), and the prognosis and recurrence risk in patients with ...
Hongwei Ren, Du Wang, Xing Wang, Jinlong Wu, Junli Huang, Honghua Jin, Chengfang Huang, Lei Lei   +7 more
doaj   +5 more sources

Association of Vascular Properties With the Brain White Matter Hyperintensity in Middle‐Aged Population

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2022
Background The periventricular white matter is more sensitive to the systemic hemodynamic alterations than the deep white matter because of differences in its vascular structure and systemic circulation relationship.
Yousef Hannawi, Dhananjay Vaidya, Lisa R. Yanek, Michelle C. Johansen, Brian G. Kral, Lewis C. Becker, Diane M. Becker, Paul A. Nyquist   +7 more
doaj   +3 more sources

Differential Effects of Serum Lipoprotein-Associated Phospholipase A2 on Periventricular and Deep Subcortical White Matter Hyperintensity in Brain

Frontiers in Neurology, 2021
Background and Purpose: Serum level of lipoprotein-associated phospholipase A2 (Lp-PLA2) was associated with white matter hyperintensity (WMH). There were differences in the anatomical structure and pathophysiological mechanism between periventricular ...
Junying Jiang, Yuanyuan Gao, Rui Zhang, Lin Wang, Xiaoyuan Zhao, Qi Dai, Wei Zhang, Xiujian Xu, Xuemei Chen   +8 more
doaj   +3 more sources

Prediction of White Matter Hyperintensity in Brain MRI Using Fundus Photographs via Deep Learning

Journal of Clinical Medicine, 2022
Purpose: We investigated whether a deep learning algorithm applied to retinal fundoscopic images could predict cerebral white matter hyperintensity (WMH), as represented by a modified Fazekas scale (FS), on brain magnetic resonance imaging (MRI).
Minwoo Lee, Chulho Kim, Bum-Joo Cho
exaly   +3 more sources

Ensemble learning via supervision augmentation for white matter hyperintensity segmentation

Frontiers in Neuroscience, 2022
Since the ambiguous boundary of the lesion and inter-observer variability, white matter hyperintensity segmentation annotations are inherently noisy and uncertain. On the other hand, the high capacity of deep neural networks (DNN) enables them to overfit
Xutao Guo, Xutao Guo, Chenfei Ye, Yanwu Yang, Yanwu Yang, Li Zhang, Li Liang, Shang Lu, Haiyan Lv, Chunjie Guo, Ting Ma, Ting Ma, Ting Ma   +12 more
doaj   +3 more sources

Advantage of grading classification using volumetric artificial intelligence for periventricular hyperintensity and deep subcortical white matter hyperintensity

Scientific Reports
We developed and validated an artificial intelligence (AI) algorithm for the automated grading of periventricular hyperintensity (PVH) and deep subcortical white matter hyperintensity (DWMH) using magnetic resonance imaging.
Masashi Kuwabara, Fusao Ikawa, Shinji Nakazawa, Saori Koshino, Daizo Ishii, Hiroshi Kondo, Takeshi Hara, Shingo Matsuda, Yuyo Maeda, Shiyuki Maeyama, Yoshinobu Seo, Jinichi Sasanuma, Kimito Kondo, Nobutaka Horie   +13 more
doaj   +4 more sources

Deep learning-based prediction of cerebral white matter hyperintensity burden using carotid magnetic resonance angiography

Frontiers in Neurology
PurposeWhite matter hyperintensities (WMHs) are key neuroimaging markers of cerebral small vessel disease (cSVD), associated with cognitive decline and increased stroke risk. We aimed to investigate whether carotid time-of-flight (TOF) magnetic resonance
Jiho Lee, Kyu Sung Choi, Kyu Sung Choi, Seung Hong Choi, Seung Hong Choi, Inpyeong Hwang, Taehoon Shin, Taehoon Shin   +7 more
doaj   +3 more sources

Association of Low Blood Pressure with White Matter Hyperintensities in Elderly Individuals with Controlled Hypertension [PDF]

Journal of Stroke, 2020
Background and Purpose Both hypertension and hypotension increase cerebral white matter hyperintensities. However, the effects of hypotension in individuals with treated hypertension are unknown. We analyzed the association of low blood pressure with the
Jun Sung Kim, Subin Lee, Seung Wan Suh, Jong Bin Bae, Ji Hyun Han, Seonjeong Byun, Ji Won Han, Jae Hyoung Kim, Ki Woong Kim   +8 more
doaj   +1 more source