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 (R) 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.
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