Statistical and Computational Methods in Brain Image Analysis

Name: Statistical and Computational Methods in Brain Image Analysis
Brand: Taylor & Francis Inc
Price: 228.75 AUD
Availability: BackOrder

By: Moo K. Chung

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Hardcover | 23 July 2013 | Edition Number 1

At a Glance

Hardcover
432 Pages

Dimensions(cm)
23.4 x 15.6 x 2.9

Hardcover

RRP $263.00

$228.75

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The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. But none of the research papers or books in the field describe the quantitative techniques with detailed illustrations of actual imaging data and computer codes. Using MATLAB^® and case study data sets, Statistical and Computational Methods in Brain Image Analysis is the first book to explicitly explain how to perform statistical analysis on brain imaging data.

The book focuses on methodological issues in analyzing structural brain imaging modalities such as MRI and DTI. Real imaging applications and examples elucidate the concepts and methods. In addition, most of the brain imaging data sets and MATLAB codes are available on the author's website.

By supplying the data and codes, this book enables researchers to start their statistical analyses immediately. Also suitable for graduate students, it provides an understanding of the various statistical and computational methodologies used in the field as well as important and technically challenging topics.

Industry Reviews

"The writing style is pleasing and the book has the important virtue of using a consistent mathematical notation and terminology throughout the book, unlike collections of chapters from various authors that are usually published on this kind of topic. One important and interesting aspect of this book is the use of MATLAB code to illustrate the theory that the author is developing. In addition, the data mentioned in the text are provided so that the reader can experiment and learn using the same examples as the ones described in the book. This provides an excellent supplement and will appeal to students starting in the field as well as researchers wanting to refresh their knowledge or learn more about some aspects of brain analysis. ... a very good book to have in a lab, and it is a pleasure to recommend it."
-Australian & New Zealand Journal of Statistics, 56(4), 2014

"... a great new reference text to the field of structural brain imaging. The presence of MATLAB code will make it easy for people to play around with the various data formats and more easily get involved in this exciting field. As a researcher already involved in neuroimaging data analysis, I have a feeling that this is a book I will return to often as a reference source, and I am happy to have it as part of my library."
-Martin A. Lindquist, Journal of the American Statistical Association, September 2014, Vol. 109

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