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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-031.mrc:204990963:6209
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-031.mrc:204990963:6209?format=raw

LEADER: 06209cam a2200853 i 4500
001 15115772
005 20220618232525.0
006 m o d
007 cr |||||||||||
008 170213s2016 xx a ob 001 0 eng
035 $a(OCoLC)ocn963932554
035 $a(NNC)15115772
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020 $a9781482220988$q(PDF)
020 $a1482220989$q(PDF)
020 $a9781315356204$q(ePub ebook)
020 $a9781315337142$q(Mobipocket ebook)
020 $a9781315373652$q(ebook)
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035 $a(OCoLC)963932554$z(OCoLC)983701107$z(OCoLC)1076643238
037 $a9781482220988$bIngram Content Group
050 4 $aRC343
072 7 $aHEA$x039000$2bisacsh
072 7 $aMED$x014000$2bisacsh
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072 7 $aMED$x112000$2bisacsh
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082 04 $a616.8047548$223
049 $aZCUA
245 00 $aHandbook of neuroimaging data analysis /$cedited by Hernando Ombao, Martin Lindquist, Wesley Thompson, John Aston.
264 1 $a[Place of publication not identified] :$bChapman and Hall/CRC,$c2016.
300 $a1 online resource :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC handbooks of modern statistical methods
504 $aIncludes bibliographical references and index.
505 0 $aCover; Half Title; Title Page; Copyright Page; Contents; List of Figures; List of Tables; Preface; Contributors; I: Overview; 1 Overview of the Handbook; 1.1 Introduction; 1.2 A Brief History of Neuroimaging; 1.3 Modalities; 1.4 Statistical Methods; 1.4.1 Preprocessing; 1.4.2 Methods in Structural Neuroimaging; 1.4.3 Localizing Areas of Activation; 1.4.4 Brain Connectivity; 1.4.5 Analysis of Electroencephalograms; 1.4.6 Multi-Modal Analysis; 1.5 Additional Topics; 1.5.1 Meta-Analysis; 1.5.2 Experimental Design in fMRI; 1.5.3 Experimental Design in EEG; 1.5.4 Imaging Genetics; 1.6 Conclusions.
505 8 $a3.1 Introduction3.2 Image Acquisition; 3.2.1 MRI Physics; 3.2.2 Image Reconstruction; 3.2.3 MRI Sequences; 3.2.4 MRI Artifacts; 3.3 Multi-Subject MRI; 3.3.1 Registration; 3.3.1.1 Volumetric Registration; 3.3.1.2 Surface-Based Registration; 3.3.2 Segmentation; 3.3.2.1 Foreground from Background Segmentation; 3.3.2.2 Brain Tissue Segmentation; 3.3.3 Templates and Atlases; 3.3.4 Morphometry; 3.3.4.1 Subcortical Volumes; 3.3.4.2 Voxel-Based Morphometry; 3.3.4.3 Deformation- and Tensor-Based Morphometry; 3.3.4.4 Surface-Based Measures; 3.3.4.5 Other Morphometric Measures.
505 8 $a3.3.5 Statistical Analyses3.3.5.1 Statistical Parametric Maps; 3.4 Miscellaneous Topics; 3.4.1 Structural Integrity and Tumor Detection; 3.4.2 Anatomical References for Functional Imaging; 3.4.3 Multi-Center Studies; 3.4.4 Imaging Genetics; 3.5 Glossary of MRI Terms; Bibliography; 4 Diffusion Magnetic Resonance Imaging (dMRI); 4.1 Introduction to Diffusion MRI; 4.1.1 Diffusion Weighted Imaging (DWI); 4.1.1.1 Diffusion Gradient Sequence; 4.1.1.2 Free Diffusion; 4.1.1.3 Restricted Diffusion; 4.1.2 Diffusion Tensor Imaging (DTI); 4.1.2.1 Scalar Indices and Eigenvectors of Diffusion Tensor.
505 8 $a4.2 High Angular Resolution Diffusion Imaging (HARDI)4.2.1 Generalization of Diffusion Tensor Imaging; 4.2.1.1 Mixture of Tensor Model; 4.2.1.2 Generalized DTI (GDTI); 4.2.1.3 High-Order Tensor Model, ADC-Based Model; 4.2.2 Diffusion Spectrum Imaging (DSI); 4.2.3 Hybrid Diffusion Imaging (HYDI); 4.2.4 Q-Ball Imaging (QBI); 4.2.4.1 Original Q-Ball Imaging; 4.2.4.2 Exact Q-Ball Imaging; 4.2.5 Diffusion Orientation Transform (DOT); 4.2.6 Spherical Deconvolution (SD); 4.2.7 Diffusion Propagator Imaging (DPI); 4.2.8 Simple Harmonic Oscillator Reconstruction and Estimation (SHORE).
520 8 $aThis work explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data.$bThis book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph. D. students in statistics, biostatistics, psychology, neuroscience, and computer science.
650 0 $aBrain$xImaging$xStatistical methods.
650 0 $aBrain mapping$xData processing.
650 0 $aBiometry.
650 2 $aBiometry
650 6 $aCerveau$xImagerie$xMéthodes statistiques.
650 6 $aCartographie cérébrale$xInformatique.
650 6 $aBiométrie.
650 7 $abiometrics.$2aat
650 7 $aSCIENCE$xLife Sciences$xNeuroscience.$2bisacsh
650 7 $aBiometry.$2fast$0(OCoLC)fst00832611
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aOmbao, Hernando,$eeditor.
700 1 $aLindquist, Martin,$eeditor.
700 1 $aThompson, Wesley,$eeditor.
700 1 $aAston, John,$eeditor.
776 08 $iPrint version:$tHandbook of neuroimaging data analysis.$d[Place of publication not identified] : Chapman and Hall/CRC, 2016$z1482220970$z9781482220971$w(OCoLC)938996007
830 0 $aChapman & Hall/CRC handbooks of modern statistical methods.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15115772$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS