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008			130725s2014 fluadf sb 001 0 eng d
020			_a9781439836361 (ebook : PDF)
040			_aBD-DhSAU _cBD-DhSAU
090			_aRC386.6.D52 _bC48 2014
092			_a616.804754 _bC559
100	1		_aChung, Moo K.
245	1	0	_aStatistical and computational methods in brain image analysis _h[electronic resource] / _cMoo K. Chung.
260			_aBoca Raton : _bCRC Press, _c2014.
300			_axvi, 400 p., [16] p. of col. plates : _bill.
490	1		_aChapman & Hall/CRC mathematical and computational imaging sciences
504			_aIncludes bibliographical references (p. 363-396) and index.
505	0		_a1. Introduction to brain and medical images -- 2. Bernoulli models for binary images -- 3. General linear models -- 4. Gaussian kernel smoothing -- 5. Random fields theory -- 6. Anisotropic kernel smoothing -- 7. Multivariate general linear models -- 8. Cortical surface analysis -- 9. Heat kernel smoothing on surfaces -- 10. Cosine series representation of 3D curves -- 11. Weighted spherical harmonic representation -- 12. Multivariate surface shape analysis -- 13. Laplace-Beltrami Eigenfunctions for surface data -- 14. Persistent homology -- 15. Sparse networks -- 16. Sparse shape models -- 17. Modeling structural brain networks -- 18. Mixed effects models.
520			_a"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."-- _cProvided by publisher.
530			_aAlso available in print edition.
538			_aMode of access: World Wide Web.
650		0	_aBrain _xImaging.
650		0	_aBrain _xImaging _xStatistical methods.
650		0	_aBrain mapping _xStatistical methods.
655		7	_aElectronic books. _2lcsh
776	1		_z9781439836354 (hardback)
830		0	_aChapman & Hall/CRC mathematical and computational imaging sciences.
856	4	0	_uhttp://marc.crcnetbase.com/isbn/9781439836361 _qapplication/PDF
999			_c12035 _d12034