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Magnetic resonance brain imaging. Modeling and data analysis using R. (English) Zbl 1436.92002

Use R!. Cham: Springer (ISBN 978-3-030-29182-2/pbk; 978-3-030-29184-6/ebook). xviii, 231 p. (2019).
The book is devoted to the timely area of processing and modeling of data (images) originating from magnetic resonance imaging. The detailed implementation of the algorithms in R (which is a commonly used development platform) is a genuine plus; the reader can directly benefit from their usage to solve some specific problems.
The material is logically structured into 6 chapters. The coverage of the fundamentals and detailed topics is carefully organized and well balanced. The three appendices tackling some general material (smoothing techniques) and offering pointers to the existing resources (pertinent data and software) are undoubtedly a useful addition to the book. The book is self-contained to a significant extent owing to a way in which some chapters are structured by delivering the prerequisite material.
Chapter 2 provides selected underlying principles of magnetic resonance imaging and discusses essential MR modalities (functional MRI (fMRI), diffusion-weighted MRI (dMRI), and multiparameter mapping). Chapter 3 covers some basics of the commonly used medical images data formats. The essentials of the fMRI are the subject of Chapter 4; here all main concepts such as registration along with correction aspects, segmentation, modeling, signal detection, and smoothing are included. The dMRI concepts and algorithms are discussed in Chapter 5. Multiparameter mapping is presented in Chapter 6.
Each chapter comes with a collection of R codes, which are helpful to any reader but particularly appealing to those involved in the algorithmic development and intensive experimentation.
Given the well-established and a rapidly growing interest in neuroimaging, this book is an excellent addition to the body of knowledge that can be of immediate benefit to everybody studying this area and interested in acquiring a hands-on experience in the specialized data analysis of image data.

MSC:

92-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to biology
92C55 Biomedical imaging and signal processing
62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
62H35 Image analysis in multivariate analysis
94A08 Image processing (compression, reconstruction, etc.) in information and communication theory
62P10 Applications of statistics to biology and medical sciences; meta analysis
62R10 Functional data analysis
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