Imaging in StrokeNet: Realizing the Potential of Big Data

摘要: Imaging of stroke and neurovascular disorders has profoundly enhanced clinical practice related research during the past 40 years since introduction computed tomography (CT), magnetic resonance imaging (MRI), positron emission enabled mapping brain. Various techniques have been developed to study pathophysiology inform medical decision-making in prevention, prehospital care, acute monitoring revascularization, subacute ICU course, recovery settings. The technology acquire such with sophisticated scanners, software for rapid postprocessing, analysis, computer vision methods, telemedicine platforms instantly beam information around world now warrant reconsideration potential era big data. These dramatic changes neuroimaging vast catapult care depend on large-scale, multi-institutional initiatives establish their role. These would require that current infrastructure philosophy translational must be modernized incorporate advances. In this position paper, we describe historical context, conceptual framework, issues, logical analyses strategic planning, proposed aims future advance data science recently established National Institutes Health (NIH) StrokeNet.1 StrokeNet consists 25 regional center hubs, each associated a group spoke hospitals are capable conducting research. network will responsible multicenter NIH trials represents an ideal setting capture large volumes invaluable data. Our perspective contrasts limited use most previous trials, recognizing unique opportunity maximize leverage landmark investment transform treatment, recovery. tools already exist widespread acquisition transmission image data, systematic real-time …