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Integration of signal processing and medical image for evaluation of brain function on Globus

机译:整合信号处理和医学图像以评估Globus的脑功能

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The demand for health care using telemedicine is set to increase, because specialized medical care is needed throughout the world. In particular, the evaluation of brain function has become important in order to diagnose dementia, cerebrovascular disease and the other brain diseases when early symptoms appear. However, the brain is a complex organ in comparison with other organs, such as the stomach, liver, kidney, lung, heart, and so on. Therefore, it requires both high-technology equipment and people with specialized medical knowledge in order to adequately investigate brain function in detail. In this research, we propose a new techniques for brain function evaluation that combines Globus, which is a system of networked virtual supercomputers (a metacomputer), and MPI (Message Passing Interface), which is a message communication library. A parallel computing and networked visualization system is developed. This system could be very helpful for the early discovery, diagnosis and treatment of brain diseases.
机译:使用远程医疗的医疗保健需求将会增加,因为全世界都需要专门的医疗保健。特别地,当出现早期症状时,对脑功能的评估对于诊断痴呆,脑血管疾病和其他脑部疾病已变得很重要。但是,与其他器官(例如胃,肝,肾,肺,心脏等)相比,大脑是一个复杂的器官。因此,它需要高科技设备和具有专业医学知识的人才能充分详细地研究脑功能。在这项研究中,我们提出了一种新的脑功能评估技术,该技术结合了Globus和MPI(消息传递接口),Globus是联网的虚拟超级计算机(元计算机)的系统,而MPI(消息传递接口)是消息通信库。开发了并行计算和网络可视化系统。该系统对于脑部疾病的早期发现,诊断和治疗可能非常有帮助。

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