MRICloud: Delivering High-Throughput MRI Neuroinformatics as Cloud-Based Software as a Service

被引：168

作者：

Mori, Susumu ^{[1
]}

Wu, Dan ^{[1
]}

Ceritoglu, Can ^{[2
]}

Li, Yue ^{[3
]}

Kolasny, Anthony ^{[2
]}

Vaillant, Marc A. ^{[4
]}

Faria, Andreia V. ^{[1
]}

Oishi, Kenichi ^{[1
]}

Miller, Michael I. ^{[2
]}

机构：

[1] Johns Hopkins Univ, Sch Med, Dept Radiol, Baltimore, MD 21218 USA

[2] Johns Hopkins Univ, Whiting Sch Engn, Baltimore, MD 21218 USA

[3] AnatomyWorks, Downham Market, Norfolk, England

[4] Animetrics, New York, NY USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2016年 / 18卷 / 05期

关键词：

ATLAS-BASED SEGMENTATION; BRAIN MRI; IMAGE SEGMENTATION; SELECTION; INFORMATION; STRATEGIES; RETRIEVAL;

D O I：

10.1109/MCSE.2016.93

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

MRICloud provides a high-throughput neuroinformatics platform for automated brain MRI segmentation and analytical tools for quantification via distributed client-server remote computation and Web-based user interfaces. This cloud-based service approach improves the efficiency of software implementation, upgrades, and maintenance. The client-server model is also ideal for high-performance computing, allowing distribution of computational servers and client interactions across the world.

引用

页码：21 / 35

页数：15

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