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003			ES-MaUEC
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007			cr nn 008mamaa
008			220601s2008 sz | s |||| 0|eng d
020			_a9783031016233
024	7		_a10.1007/978-3-031-01623-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP376.6 _b2008 EB
100	1		_aMüller, Hans-Peter, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _954197 _cProf. Dr. med. dent.
245	1	0	_aMultimodal Imaging in Neurology : _bSpecial Focus on MRI Applications and MEG _cby Hans-Peter Müller, Jan Kassubek
250			_a1st edition 2008
264		1	_aCham _bSpringer International Publishing _c2008
300			_a1 recurso en línea (X, 75 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Biomedical Engineering _x1930-0336
505	0		_aIntroduction -- Neurological Measurement Techniques and First Steps of Postprocessing -- Coordinate Transformation -- Examples for Multimodal Imaging -- Clinical Aspects of Multimodal Imaging -- References -- Biography.
520			_aThe field of brain imaging is developing at a rapid pace and has greatly advanced the areas of cognitive and clinical neuroscience. The availability of neuroimaging techniques, especially magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging (DTI) and magnetoencephalography (MEG) and magnetic source imaging (MSI) has brought about breakthroughs in neuroscience. To obtain comprehensive information about the activity of the human brain, different analytical approaches should be complemented. Thus, in "intermodal multimodality" imaging, great efforts have been made to combine the highest spatial resolution (MRI, fMRI) with the best temporal resolution (MEG or EEG). "Intramodal multimodality" imaging combines various functional MRI techniques (e.g., fMRI, DTI, and/or morphometric/volumetric analysis). The multimodal approach is conceptually based on the combination of different noninvasive functional neuroimaging tools, their registration and cointegration. In particular, the combination of imaging applications that map different functional systems is useful, such as fMRI as a technique for the localization of cortical function and DTI as a technique for mapping of white matter fiber bundles or tracts. This booklet gives an insight into the wide field of multimodal imaging with respect to concepts, data acquisition, and postprocessing. Examples for intermodal and intramodal multimodality imaging are also demonstrated. Table of Contents: Introduction / Neurological Measurement Techniques and First Steps of Postprocessing / Coordinate Transformation / Examples for Multimodal Imaging / Clinical Aspects of Multimodal Imaging / References / Biography.
988			_aSynthesis Collection of Technology_2008
650		7	_2embne _9219917 _aCerebro _xResonancia magnética nuclear
650		7	_2embne _9167079 _aSistemas de imágenes en medicina
650		7	_2embne _9139534 _aElectroencefalografía
700	1		_aKassubek, Jan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686687
776	0	8	_iPrinted edition: _z9783031004957
776	0	8	_iPrinted edition: _z9783031027512
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01623-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI