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21 March 2016 Image-processing pipelines: applications in magnetic resonance histology
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Abstract
Image processing has become ubiquitous in imaging research—so ubiquitous that it is easy to loose track of how diverse this processing has become. The Duke Center for In Vivo Microscopy has pioneered the development of Magnetic Resonance Histology (MRH), which generates large multidimensional data sets that can easily reach into the tens of gigabytes. A series of dedicated image-processing workstations and associated software have been assembled to optimize each step of acquisition, reconstruction, post-processing, registration, visualization, and dissemination. This talk will describe the image-processing pipelines from acquisition to dissemination that have become critical to our everyday work.
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G. Allan Johnson, Robert J. Anderson, James J. Cook, Christopher Long, and Alexandra Badea "Image-processing pipelines: applications in magnetic resonance histology", Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 978407 (21 March 2016); https://doi.org/10.1117/12.2203525
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