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Efficient and Extensible Workflow: Reliable whole brain segmentation for Large-scale, Multi-center Longitudinal Human MRI Analysis using High Performance/Throughput Computing Resources

Institution:
1Department of Psychiatry, University of Iowa, Iowa City, IA, USA.
2Electrical Computer Engineering, University of Iowa, Iowa City, IA, USA.
Publisher:
Int Conf Med Image Comput Comput Assist Interv. MICCAI 2015
Publication Date:
Oct-2015
Citation:
Int Conf Med Image Comput Comput Assist Interv. 2015 Oct;18(WS). Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging.
Appears in Collections:
NA-MIC
Sponsors:
R01 NS040068/NS/NINDS NIH HHS/United States
R01 NS050568/NS/NINDS NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
S10 RR023392/RR/NCRR NIH HHS/United States
Generated Citation:
Kim R.E., Johnson H. Efficient and Extensible Workflow: Reliable whole brain segmentation for Large-scale, Multi-center Longitudinal Human MRI Analysis using High Performance/Throughput Computing Resources. Int Conf Med Image Comput Comput Assist Interv. 2015 Oct;18(WS). Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging.
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Advances in medical image applications have led to mounting expectations in regard to their impact on neuroscience studies. In light of this fact, a comprehensive application is needed to move neuroimaging data into clinical research discoveries in a way that maximizes collected data utilization and minimizes the development costs. We introduce BRAINS AutoWorkup, a Nipype based open source MRI analysis application distributed with BRAINSTools suite (http://brainsia. github.io/BRAINSTools/). This work describes the use of eAdvances in medical image applications have led to mounting expectations in regard to their impact on neuroscience studies. In light of this fact, a comprehensive application is needed to move neuroimaging data into clinical research discoveries in a way that maximizes collected data utilization and minimizes the development costs. We introduce BRAINS AutoWorkup, a Nipype based open source MRI analysis application distributed with BRAINSTools suite (http://brainsia. github.io/BRAINSTools/).

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