By Vadim Kuperman

ISBN-10: 0124291503

ISBN-13: 9780124291508

This e-book is meant as a text/reference for college students, researchers, and professors drawn to actual and biomedical purposes of Magnetic Resonance Imaging (MRI). either the theoretical and functional features of MRI are emphasised. The e-book starts off with a finished dialogue of the Nuclear Magnetic Resonance (NMR) phenomenon in line with quantum mechanics and the classical idea of electromagnetism. the 1st 3 chapters of this ebook give you the origin had to comprehend the fundamental features of MR photographs, e.g.,image distinction, spatial answer, signal-to-noise ratio, universal snapshot artifacts. Then MRI purposes are thought of within the following 5 chapters. either the theoretical and sensible facets of MRI are emphasised. The booklet ends with a dialogue of instrumentation and the rules of sign detection in MRI.

Key Features
* transparent development from basic actual ideas of NMR to MRI and its applications
* huge dialogue of snapshot acquisition and reconstruction of MRI
* dialogue of alternative mechanisms of MR picture contrast
* Mathematical derivation of the signal-to-noise dependence on simple MR imaging parameters in addition to box strength
* In-depth attention of artifacts in MR images
* entire dialogue of a number of innovations used for fast MR imaging together with fast gradient-echo imaging, echo-planar imaging, quick spin-echo imaging and spiral imaging
* Qualitative dialogue mixed with mathematical description of MR options for imaging stream

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Extra info for Magnetic Resonance Imaging: Physical Principles and Applications (Electromagnetism)

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As a result, the number of signal samples in applications which entail the use of FFT is most likely to be a power of two. 2The Dirac delta function has the properties: if x # 0 then 5(x)=0 and f ~o~5(x) dx = 1. 1. Image Reconstruction from Discrete Samples 43 the object and a two-dimensional point-spread function PSF(x,y), which is given by the product of one-dimensional point-spread functions PSFx (x) and PSFy (y). Spatial resolution Image intensity in Eq. 6) can be expressed as a sum of weighted elements f(x) dx with PSF(x) as the weighting function [2].

1(a)). To simplify further derivations we assume that the transverse magnetization in a sample is negligibly small immediately before the beginning of each successive excitation. f. I I /j I I i. i i,i Excitation of the Transverse Magnetization ! f. f. 1. Different pulse trains used for repetitive excitation of the transverse magnetization. (sometimes called crusher or spoiling gradients) are applied after signal acquisition in order to disperse the transverse magnetization in a sample. f. pulse, is considered in a classic paper by Ernst and Anderson [1].

10) This feature of inversion-recovery sequence is often used in diagnostic MRI in order to eliminate the signal from a chosen tissue such as fat or cerebrospinal fluid (CSF). For example when a lesion in the brain parenchyma is bright on a T2-weighted image (see Chapter 4) but obscured by the even brighter CSF in the adjacent ventricle, suppression of the CSF signal through the use of inversion-recovery sequence can improve the contrast between the brain tumor and the surrounding tissue. 2. f.

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Magnetic Resonance Imaging: Physical Principles and Applications (Electromagnetism) by Vadim Kuperman


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