Optimal combination of FLAIR and T2-weighted MRI for improved lesion contrast in multiple sclerosis
Author:
Affiliation:
1. Department of Diagnostic and Interventional Imaging; University of Texas Health Science Center at Houston (UTHealth); Houston Texas USA
2. Department of Neurology; University of Texas Health Science Center at Houston (UTHealth); Houston Texas USA
Funder
The NIH National Center for Advancing Translational Sciences
Publisher
Wiley
Subject
Radiology, Nuclear Medicine and imaging
Reference28 articles.
1. Multiple sclerosis: geoepidemiology, genetics and the environment;Milo;Autoimmun Rev,2010
2. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria;Polman;Ann Neurol,2011
3. Cortical/subcortical disease burden and cognitive impairment in patients with multiple sclerosis;Rovaris;AJNR Am J Neuroradiol,2000
4. FLAIR2: a combination of FLAIR and T2 for improved MS lesion detection;Wiggermann;AJNR Am J Neuroradiol,2016
5. Multiecho sequences with variable refocusing flip angles: optimization of signal behavior using smooth transitions between pseudo steady states (TRAPS);Hennig;Magn Reson Med,2003
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Cerebellar Roles in Motor and Social Functions and Implications for ASD;The Cerebellum;2024-07-17
2. Predicting Antiseizure Medication Treatment in Children with Rare Tuberous Sclerosis Complex–Related Epilepsy Using Deep Learning;American Journal of Neuroradiology;2023-12
3. Recognizing Pediatric Tuberous Sclerosis Complex Based on Multi-Contrast MRI and Deep Weighted Fusion Network;Bioengineering;2023-07-22
4. Identification of Children's Tuberous Sclerosis Complex with Multiple-contrast MRI and 3D Convolutional Network;2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2022-07-11
5. Using Convolutional Encoder Networks to Determine the Optimal Magnetic Resonance Image for the Automatic Segmentation of Multiple Sclerosis;Applied Sciences;2021-09-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3