Computational Diffusion MRI MICCAI Workshop, Munich, Germany, October 9th, 2015
Aus der Reihe
Mathematics and Visualization
-
- Hardcover
- Taschenbuch ausgewählt
- eBook
-
Sprache:Englisch
-
Auflage:Softcover reprint of the original 1st ed. 2016
- 1st edition 2022 Fr. 81.90
- 1st ed. 2020 Fr. 191.00
- 1st ed. 2021 Fr. 81.90
- 1st ed. 2021 Fr. 218.00
- Softcover reprint of the original 1st ed. 2017 Fr. 137.00
- Softcover reprint of the original 1st ed. 2016 Fr. 137.00 ausgewählt
- Softcover reprint of the original 1st ed. 2014 Fr. 137.00
- Softcover reprint of the original 1st ed. 2018 Fr. 150.00
Fr. 137.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
25.04.2018
Abbildungen
IX, 83 illus., 63 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Herausgeber
Andrea Fuster + weitereVerlag
SpringerSeitenzahl
234
Maße (L/B/H)
23.5/15.5/1.3 cm
Gewicht
4196 g
Auflage
Softcover reprint of the original 1st ed. 2016
Sprache
Englisch
ISBN
978-3-319-80381-4
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.
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.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.