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Magnetic Resonance Brain Imaging

Modelling and Data Analysis Using R
BuchKartoniert, Paperback
258 Seiten
Englisch
Springererschienen am13.10.20232. Aufl.
This book discusses modelling and analysis of Magnetic Resonance Imaging (MRI) data of the human brain.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR106,99
E-BookPDF1 - PDF WatermarkE-Book
EUR74,89
E-BookPDF1 - PDF WatermarkE-Book
EUR96,29

Produkt

KlappentextThis book discusses modelling and analysis of Magnetic Resonance Imaging (MRI) data of the human brain.
Details
ISBN/GTIN978-3-031-38948-1
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2023
Erscheinungsdatum13.10.2023
Auflage2. Aufl.
ReiheUse R!
Seiten258 Seiten
SpracheEnglisch
IllustrationenXXI, 258 p. 78 illus., 47 illus. in color.
Artikel-Nr.54116765

Inhalt/Kritik

Inhaltsverzeichnis
- 1. Introduction. - 2. Magnetic Resonance Imaging in a Nutshell. - 3. Medical Imaging Data Formats. - 4. Functional Magnetic Resonance Imaging. - 5. Diffusion-Weighted Imaging. - 6. Multiparameter Mapping. - 7. Inversion Recovery Magnetic Resonance Imaging.mehr

Schlagworte

Autor

Jörg Polzehl has retired in 2022 after 25 years as research associate at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany. He holds a PhD in mathematics from Humboldt University Berlin. His main research interests are in computational and nonparametric statistics, with a focus on statistical modeling and data analysis in medical imaging. He has been elected as a Fellow of the Institute of Mathematical Statistics (IMS) and has been a longtime member of the American Statistical Association (ASA) and the Organization of Human Brain Mapping (OHBM).
Karsten Tabelow is a (particle) physisist by training who currently works as a data scientist at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany. He is interested in Magnetic Resonance Imaging data of the human brain and considers data modeling and analysis problems with a focus on structural adaptive smoothing methods and biophysical models. He is also interested in reconstruction problems from physics-based imaging modalities. He is a member of the OHBM. Finally, he contributes to the discussion on Open Science and Research Data Handling especially within mathematics. Within the Mathematical Research Data Initiative (MaRDI) with the German National Research Data Infrastructure (NFDI) he is one of the strategic developers of the consortium and a leader of the MaRDI working group at WIAS.

Both authors have jointly coauthored several R packages for the analysis of Magnetic Resonance Imaging data.
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