Download or read book Computational Neuroanatomy written by Moo K Chung and published by World Scientific. This book was released on 2012-09-05 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational neuroanatomy is an emerging field that utilizes various non-invasive brain imaging modalities, such as MRI and DTI, in quantifying the spatiotemporal dynamics of the human brain structures in both normal and clinical populations. This discipline emerged about twenty years ago and has made substantial progress in the past decade. The main goals of this book are to provide an overview of various mathematical, statistical and computational methodologies used in the field to a wide range of researchers and students, and to address important yet technically challenging topics in further detail. Contents:Statistical PreliminaryDeformation-Based MorphometryTensor-Based MorphometryVoxel-Based MorphometryGeometry of Cortical ManifoldsSmoothing on Cortical ManifoldsSurface-Based MorphometryWeighted Fourier RepresentationStructural Brain ConnectivityTopological Data Analysis Readership: Researchers and graduate students in the fields of computational neuroscience and brain imaging, medical image analysis and pattern recognition. Keywords:Computational Neuroanatomy;Brain Image Analysis;NeuroimageKey Features:Includes necessary and very practical mathematical and statistical methodologiesAccessible to a wide range of readers and provides methodological understanding in a manner immediately usable to researchersCovers various topics in great detail without sacrificing readability; it can be used as both a textbook for graduate students and a reference for researchers Reviews: "The book is a comprehensive treatise on computational neuroanatomy — an area that has emerged with the enormous advancements of magnetic resonance imaging (MRI). The book is a solid and evidently needed testimony to the recent developments in the area of computational neuroanatomy. It is a welcome publication, which may appeal to senior graduate students, researchers and practitioners." Zentralblatt MATH