| 书目名称 | Computational Diffusion MRI |
| 副标题 | MICCAI Workshop, Mun |
| 编辑 | Andrea Fuster,Aurobrata Ghosh,Marco Reisert |
| 视频video | http://file.papertrans.cn/233/232234/232234.mp4 |
| 概述 | Includes supplementary material: |
| 丛书名称 | Mathematics and Visualization |
| 图书封面 |  |
| 描述 | .TheseProceedings of the 2015 MICCAI Workshop “Computational Diffusion MRI” offer asnapshot of the current state of the art on a broad range of topics within thehighly active and growing field of diffusion MRI. The topics vary fromfundamental theoretical work on mathematical modeling, to the development andevaluation of robust algorithms, new computational methods applied to diffusionmagnetic resonance imaging data, and applications in neuroscientific studiesand clinical practice..Over thelast decade interest in diffusion MRI has exploded. The technique providesunique insights into the microstructure of living tissue and enables in-vivoconnectivity mapping of the brain. Computational techniques are key to thecontinued success and development of diffusion MRI and to its widespreadtransfer into clinical practice. New processing methods are essential for addressingissues at each stage of the diffusion MRI pipeline: acquisition, reconstruction,modeling and model fitting, image processing, fiber tracking, connectivitymapping, visualization, group studies and inference...Thisvolume, which includes both careful mathematical derivations and a wealth ofrich, full-color visualizations and bi |
| 出版日期 | Conference proceedings 2016 |
| 关键词 | brain network analysis; connectomics; diffusion tensor imaging; fiber tractography; image processing; inv |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-28588-7 |
| isbn_softcover | 978-3-319-80381-4 |
| isbn_ebook | 978-3-319-28588-7Series ISSN 1612-3786 Series E-ISSN 2197-666X |
| issn_series | 1612-3786 |
| copyright | Springer International Publishing Switzerland 2016 |
|Archiver|手机版|小黑屋|
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