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Viser: Computational Diffusion MRI - MICCAI Workshop, Munich, Germany, October 9th 2015
Computational Diffusion MRI Vital Source e-bog
Andrea Fuster
(2016)
Computational Diffusion MRI Vital Source e-bog
Andrea Fuster
(2016)
Computational Diffusion MRI
MICCAI Workshop, Munich, Germany, October 9th 2015
Andrea Fuster, Aurobrata Ghosh, Enrico Kaden, Yogesh Rathi og Marco Reisert
(2016)
Sprog: Engelsk
om ca. 10 hverdage
Detaljer om varen
- Vital Source searchable e-book (Fixed pages)
- Udgiver: Springer Nature (April 2016)
- ISBN: 9783319285887
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
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Detaljer om varen
- Vital Source 365 day rentals (fixed pages)
- Udgiver: Springer Nature (April 2016)
- ISBN: 9783319285887R365
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: 5 år fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Hardback
- Udgiver: Springer International Publishing AG (April 2016)
- Forfattere: Andrea Fuster, Aurobrata Ghosh, Enrico Kaden, Yogesh Rathi og Marco Reisert
- ISBN: 9783319285863
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 biologically or clinically relevantresults, offers a valuable starting point for anyone interested in learningabout computational diffusion MRI and mathematical methods for mapping brainconnectivity, as well as new perspectives and insights on current researchchallenges for those currently working in the field. It will be of interest toresearchers and practitioners in the fields of computer science, MR physics,and applied mathematics.