A graphics processing unit accelerated motion correction algorithm and modular system for real-time fMRI.
A graphics processing unit accelerated motion correction algorithm and modular system for real-time fMRI.
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DOI：
10.1007/s12021-013-9176-3
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发表时间：
2013-07
期刊：
影响因子：
3
通讯作者：
Papademetris, Xenophon
中科院分区：
文献类型：
--
作者：
Scheinost, Dustin;Hampson, Michelle;Qiu, Maolin;Bhawnani, Jitendra;Constable, R. Todd;Papademetris, Xenophon
实时功能磁共振成像（rt-fMRI）最近获得了兴趣，作为一种可能的手段，以促进某些行为的学习。然而，rt-fMRI受到处理速度和可用软件的限制，需要继续开发rt-fMRI以进一步发展并使其适用于临床。在这项工作中，我们提出了一个开源的rt-fMRI系统的生物反馈的一种新的图形处理单元（GPU）加速运动校正策略的BioImage套件项目（www.bioimagesuite.org）的一部分。我们的系统有助于rt-fMRI的发展，提出了一个运动校正算法，提供了一个基本上没有处理延迟，以及模块化的rt-fMRI系统设计的运动估计。使用rt-fMRI扫描的经验数据，我们评估了这个新系统的运动校正质量。该算法的性能优于标准（非实时）离线方法，优于其他基于零阶插值运动参数的实时方法。rt-fMRI系统的模块化方法允许系统对实验和反馈设计具有灵活性，这是许多应用的一个有价值的功能。我们通过描述我们正在进行的几项研究来说明该系统的灵活性。我们希望开源rt-fMRI算法和软件的持续发展将使这项新技术更容易获得和适应，从而加速其在临床和认知神经科学中的应用。
Real-time functional magnetic resonance imaging (rt-fMRI) has recently gained interest as a possible means to facilitate the learning of certain behaviors. However, rt-fMRI is limited by processing speed and available software, and continued development is needed for rt-fMRI to progress further and become feasible for clinical use. In this work, we present an open-source rt-fMRI system for biofeedback powered by a novel Graphics Processing Unit (GPU) accelerated motion correction strategy as part of the BioImage Suite project (www.bioimagesuite.org). Our system contributes to the development of rt-fMRI by presenting a motion correction algorithm that provides an estimate of motion with essentially no processing delay as well as a modular rt-fMRI system design. Using empirical data from rt-fMRI scans, we assessed the quality of motion correction in this new system. The present algorithm performed comparably to standard (non real-time) offline methods and outperformed other real-time methods based on zero order interpolation of motion parameters. The modular approach to the rt-fMRI system allows the system to be flexible to the experiment and feedback design, a valuable feature for many applications. We illustrate the flexibility of the system by describing several of our ongoing studies. Our hope is that continuing development of open-source rt-fMRI algorithms and software will make this new technology more accessible and adaptable, and will thereby accelerate its application in the clinical and cognitive neurosciences.
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影响因子：
3
作者：
Joshi A;Scheinost D;Okuda H;Belhachemi D;Murphy I;Staib LH;Papademetris X
通讯作者：
Papademetris X
影响因子：
10.6
作者：
Caria, Andrea;Sitaram, Ranganatha;Birbaumer, Niels
通讯作者：
Birbaumer, Niels
DOI：
10.1073/pnas.0505210102
发表时间：
2005-12-20
影响因子：
11.1
作者：
deCharms, RC;Maeda, F;Mackey, SC
通讯作者：
Mackey, SC
影响因子：
4.2
作者：
Lee, Sangkyun;Ruiz, Sergio;Sitaram, Ranganatha
通讯作者：
Sitaram, Ranganatha
影响因子：
3
作者：
Nakai, Toshiharu;Bagarinao, Epifanio;Kato, Chikako
通讯作者：
Kato, Chikako