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007			cr nn 008mamaa
008			130913s2014 ne | s |||| 0|eng d
020			_a9789400773028
024	7		_a10.1007/978-94-007-7302-8 _2doi
040			_dES-MaUEC
050		4	_aRC78.7.N83 _bL595 2014
100	1		_aLi, Xingfeng _0Local _986216
245	1	0	_aFunctional Magnetic Resonance Imaging Processing _cby Xingfeng Li.
260			_aDordrecht, Netherlands _bSpringer International Publishing _c2014
300			_a1 recurso en línea (XIII, 221 p.) _b72 ilustraciones, 58 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aPreface -- MRI perfusion weighted imaging analysis -- Perfusion imaging -- Gamma-variate fitting -- AIF selection -- Dispersion effects in DSC-MRI -- -Summary of the PWI algorithm -- First level fMRI data analysis for activation detection -- fMRI experimental design -- fMRI data pre-processing -- Activation detection: model free and model based methods -- Models for hemodynamic response function and drift -- General linear model (GLM) for activation detect -- Hypothesis test and threshold correction -- Summary of algorithm for 1st level fMRI data analysis -- 2nd level fMRI data analysis using mixed model -- Mixed model for fMRI data analysis -- Numerical analysis for mixed effect models -- Iterative trust region method for ML estimation -- Exception trust region algorithm for second level fMRI data analysis -- Degree of freedom (DF) estimation -- fMRI data analysis future directions -- Second level fMRI data processing algorithm summary.-Â{u098D}RI effective connectivity study -- Nonlinear system identification method for fMRI effective connectivity analysis -- Model selections for effective connectivity study -- Robust method for second level analysis -- Effective connectivity for resting-state fMRI data -- Limitations for fMRI effective connectivity in this study -- Summary of the algorithm for fMRI effective connectivity study.Diffusion weighted imaging analysis -- Basic principle of diffusion MRI and DTI data analysis -- Fiber tracking -- High angular resolution diffusion imaging (HARDI) analysis -- Adaptive Q-ball imaging regularization -- Diffusion spectrum imaging -- Summary and future directions -- Summary of DTI, QBI and DSI image analysis methods -- Voxel based morphometry and its application to Alzheimerâ€{u3824}isease study -- Background for voxel based morphometry analysis -- Enhanced VBM -- Longitudinal VBM and its application to AD study -- Effective connectivity for longitudinal data analysis -- Other type of sMRI data analysis -- Summary of (longitudinal) VBM analysis methods -- Appendixes -- Question answers and hints.
520			_aWith strong numerical and computational focus, this book serves as an essential resource on the methods for functional neuroimaging analysis, diffusion weighted image analysis, and longitudinal VBM analysis. It includes four MRI image modalities analysis methods. The first covers the PWI methods, which is the basis for understanding cerebral flow in human brain. The second part, the bookâ€{u3823}ore, covers MRI methods in three specific domains: first level analysis, second level analysis, and effective connectivity study. The third part covers the analysis of Diffusion weighted image, i.e. DTI, QBI and DSI image analysis. Finally, the book covers (longitudinal) VBM methods and its application to Alzheimerâ€{u3824}isease study.
650		7	_2embne _9141826 _aResonancia magnética nuclear (Medicina)
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-94-007-7302-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907			_a.b1282480x _b10-10-17 _c01-10-14
942			_2lcc _cLE
945			_aRC78.7.N83 L595 2014 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11554010 _z06-04-17
988			_aEBSPRINGER
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _gne _h0