Computational Diffusion MRI: MICCAI Workshop, Munich, Germany, October 9th, 2015 (Mathematics and Visualization) - Tapa dura
Sinopsis
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.
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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.?
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Computational Diffusion MRI
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Springer International Publishing Apr 2016, 2016
ISBN 10: 3319285866
ISBN 13: 9783319285863
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 varyfromfundamental 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. 244 pp. Englisch. Nº de ref. del artículo: 9783319285863
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Computational Diffusion MRI: MICCAI Workshop, Munich, Germany, October 9th, 2015 (Mathematics and Visualization)
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Computational Diffusion MRI | MICCAI Workshop, Munich, Germany, October 9th, 2015
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Buch. Condición: Neu. Computational Diffusion MRI | MICCAI Workshop, Munich, Germany, October 9th, 2015 | Andrea Fuster (u. a.) | Buch | ix | Englisch | 2016 | Springer International Publishing | EAN 9783319285863 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 104033281
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Buch. Condición: Neu. Neuware -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, reconstructionmodeling 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 physicsand applied mathematics.¿Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch. Nº de ref. del artículo: 9783319285863
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Computational Diffusion MRI : MICCAI Workshop, Munich, Germany, October 9th, 2015
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Springer International Publishing, 2016
ISBN 10: 3319285866
ISBN 13: 9783319285863
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 varyfromfundamental 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. Nº de ref. del artículo: 9783319285863
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Computational Diffusion MRI: MICCAI Workshop, Munich, Germany, October 9th, 2015 (Mathematics and Visualization)
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