Computational Diffusion MRI: Miccai Workshop, Munich, Germany, October 9th, 2015 - Brossura

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ISBN 10: 3319803816 ISBN 13: 9783319803814

Casa editrice: Springer Nature, 2018

Riassunto

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.?

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These Proceedings of the 2015 MICCAI Workshop Computational Diffusion MRI offer a snapshot of the current state of the art on a broad range of topics within the highly active and growing field of diffusion MRI. The topics vary from fundamental theoretical work on mathematical modeling, to the development and evaluation of robust algorithms, new computational methods applied to diffusion magnetic resonance imaging data, and applications in neuroscientific studies and clinical practice.

Over the last decade interest in diffusion MRI has exploded. The technique provides unique insights into the microstructure of living tissue and enables in-vivo connectivity mapping of the brain. Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into clinical practice. New processing methods are essential for addressing issues at each stage of the diffusion MRI pipeline: acquisition, reconstruction, modeling and model fitting, image processing, fiber tracking, connectivity mapping, visualization, group studies and inference.

This volume, which includes both careful mathematical derivations and a wealth of rich, full-color visualizations and biologically or clinically relevant results, offers a valuable starting point for anyone interested in learning about computational diffusion MRI and mathematical methods for mapping brain connectivity, as well as new perspectives and insights on current research challenges for those currently working in the field. It will be of interest to researchers and practitioners in the fields of computer science, MR physics, and applied mathematics.?

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 3319803816
• ISBN 13: 9783319803814
• Rilegatura: Copertina flessibile
• Numero di pagine: 234
• Redattore: Fuster Andrea, Ghosh Aurobrata, Kaden Enrico, Rathi Yogesh, Reisert Marco
• Contatto del produttore: Elevation; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; 22391; Germania