000			04500nam a2200445 i 4500
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007			cr nn 008mamaa
008			220601s2020 sz | o |||| 0|eng d
020			_a9783031016677
024	7		_a10.1007/978-3-031-01667-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQC762.6.M34 _b2020 EB
100	1		_aBuonincontri, Guido _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686216
245	1	0	_aFast Quantitative Magnetic Resonance Imaging _cby Guido Buonincontri, Joshua Kaggie, Martin Graves
250			_a1st edition 2020
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XV, 124 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 -- Spatial Encoding -- Contrast Encoding -- Spatial Decoding -- Contrast Decoding -- Conclusion -- Author Biographies .
520			_aAmong medical imaging modalities, magnetic resonance imaging (MRI) stands out for its excellent soft-tissue contrast, anatomical detail, and high sensitivity for disease detection. However, as proven by the continuous and vast effort to develop new MRI techniques, limitations and open challenges remain. The primary source of contrast in MRI images are the various relaxation parameters associated with the nuclear magnetic resonance (NMR) phenomena upon which MRI is based. Although it is possible to quantify these relaxation parameters (qMRI) they are rarely used in the clinic, and radiological interpretation of images is primarily based upon images that are relaxation time weighted. The clinical adoption of qMRI is mainly limited by the long acquisition times required to quantify each relaxation parameter as well as questions around their accuracy and reliability. More specifically, the main limitations of qMRI methods have been the difficulty in dealing with the high inter-parameter correlations and a high sensitivity to MRI system imperfections. Recently, new methods for rapid qMRI have been proposed. The multi-parametric models at the heart of these techniques have the main advantage of accounting for the correlations between the parameters of interest as well as system imperfections. This holistic view on the MR signal makes it possible to regress many individual parameters at once, potentially with a higher accuracy. Novel, accurate techniques promise a fast estimation of relevant MRI quantities, including but not limited to longitudinal (T1) and transverse (T2) relaxation times. Among these emerging methods, MR Fingerprinting (MRF), synthetic MR (syMRI or MAGIC), and T1‒T2 Shuffling are making their way into the clinical world at a very fast pace. However, the main underlying assumptions and algorithms used are sometimes different from those found in the conventional MRI literature, and can be elusive at times. In this book, we take the opportunity to study and describe the main assumptions, theoretical background, and methods that are the basis of these emerging techniques. Quantitative transient state imaging provides an incredible, transformative opportunity for MRI. There is huge potential to further extend the physics, in conjunction with the underlying physiology, toward a better theoretical description of the underlying models, their application, and evaluation to improve the assessment of disease and treatment efficacy.
988			_aSynthesis Collection of Technology_2020
650		7	_2embne _9141826 _aResonancia magnética nuclear (Medicina)
650		7	_2embne _9139972 _aDiagnóstico por imagen
700	1		_aKaggie, Joshua _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686217
700	1		_aGraves, Martin J. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686218
776	0	8	_iPrinted edition: _z9783031000461
776	0	8	_iPrinted edition: _z9783031005398
776	0	8	_iPrinted edition: _z9783031027956
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01667-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eb _zSI