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一个用于磁共振成像(MRI)数据三维分形维数交互式可视化与分析的网络平台。

A Web platform for the interactive visualization and analysis of the 3D fractal dimension of MRI data.

作者信息

Jiménez J, López A M, Cruz J, Esteban F J, Navas J, Villoslada P, Ruiz de Miras J

机构信息

Department of Computer Science, University of Jaén, Jaén, Spain.

Department of Computer Science, University of Jaén, Jaén, Spain.

出版信息

J Biomed Inform. 2014 Oct;51:176-90. doi: 10.1016/j.jbi.2014.05.011. Epub 2014 Jun 6.

DOI:10.1016/j.jbi.2014.05.011
PMID:24909817
Abstract

This study presents a Web platform (http://3dfd.ujaen.es) for computing and analyzing the 3D fractal dimension (3DFD) from volumetric data in an efficient, visual and interactive way. The Web platform is specially designed for working with magnetic resonance images (MRIs) of the brain. The program estimates the 3DFD by calculating the 3D box-counting of the entire volume of the brain, and also of its 3D skeleton. All of this is done in a graphical, fast and optimized way by using novel technologies like CUDA and WebGL. The usefulness of the Web platform presented is demonstrated by its application in a case study where an analysis and characterization of groups of 3D MR images is performed for three neurodegenerative diseases: Multiple Sclerosis, Intrauterine Growth Restriction and Alzheimer's disease. To the best of our knowledge, this is the first Web platform that allows the users to calculate, visualize, analyze and compare the 3DFD from MRI images in the cloud.

摘要

本研究展示了一个网络平台(http://3dfd.ujaen.es),该平台能够以高效、可视化且交互式的方式,从体数据中计算和分析三维分形维数(3DFD)。该网络平台是专门为处理大脑的磁共振成像(MRI)而设计的。该程序通过计算大脑整体体积及其三维骨架的三维盒计数来估计3DFD。所有这些都是通过使用CUDA和WebGL等新技术,以图形化、快速且优化的方式完成的。所展示的网络平台的实用性,通过其在一个案例研究中的应用得到了证明,在该案例研究中,针对三种神经退行性疾病:多发性硬化症、宫内生长受限和阿尔茨海默病,对三维MRI图像组进行了分析和特征描述。据我们所知,这是首个允许用户在云端从MRI图像计算、可视化、分析和比较3DFD的网络平台。

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