By a News Reporter-Staff News Editor at Journal of Mathematics -- Research findings on Algorithms are discussed in a new report. According to news originating from New Haven, Connecticut, by VerticalNews correspondents, research stated, "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."
Our news journalists obtained a quote from the research from Yale University, "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."
According to the news editors, the research concluded: "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."
For more information on this research see: A graphics processing unit accelerated motion correction algorithm and modular system for real-time fMRI. Neuroinformatics, 2013;11(3):291-300. Neuroinformatics can be contacted at: Springer, 233 Spring Street, New York, NY 10013, USA. (Springer - www.springer.com; Neuroinformatics - www.springerlink.com/content/1539-2791/)
The news correspondents report that additional information may be obtained from D. Scheinost, Dept. of Biomedical Engineering, Yale University, New Haven, CT 06510, United States. Additional authors for this research include M. Hampson, M. Qiu, J. Bhawnani, R.T. Constable and X. Papademetris.
The publisher's contact information for the journal Neuroinformatics is: Springer, 233 Spring Street, New York, NY 10013, USA.
Keywords for this news article include: Software, New Haven, Algorithms, Connecticut, United States, North and Central America.
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