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Diagnostic Imaging

Cardiovascular Magnetic Resonance Imaging by Raymond Y. Kwong

By Raymond Y. Kwong

Cardiovascular Magnetic Resonance Imaging (CMR) is a quickly evolving instrument for cardiovascular analysis, and is changing into more and more vital in guiding cardiovascular interventions. Cardiovascular Magnetic Resonance Imaging offers a state of the art compilation of specialist contributions to the sector, each one reading general and pathologic anatomy of the cardiovascular procedure as assessed via magnetic resonance imaging. useful suggestions comparable to myocardial perfusion imaging and evaluation of move pace are emphasised, besides the fascinating parts of artherosclerosis plaque imaging and distinct magnetic resonance imaging. Cardiovascular Magnetic Resonance Imaging represents a multi-disciplinary method of the sector, with contributions from specialists in cardiology, radiology, physics, engineering, body structure and biochemistry and provides new instructions in noninvasive imaging.

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The RF pulse is played out (Fig. 17, beige color). The gradient field along the z-axis causes spins at different planes parallel to the transverse plane to precess at different frequencies. Only the spins in a plane where the precessional Larmor frequency ν0 is equal to the frequency ν1 of our RF pulse will respond to the RF pulse and be brought on the transverse plane. In other words, only the spins in the plane that is on-resonance with the RF pulse (Eq. 2) will produce a signal. Do not forget that we have full control of the RF pulse frequency, so we can select any such plane parallel to the xy-plane.

27, y = 4), the four experiments result in phase accumulation at a rate of 40° per experiment; at y = 5 (Fig. 27, y = 5), the four experiments result in phase accumulation at a rate of 50° per experiment; last, at y = 6 (Fig. 27, y = 6), the four experiments result in phase accumulation at a rate of 60° per experiment. By looking at Fig. 27, one realizes now that we are talking about how fast phase accumulates at any given location on the y-axis across our four experiments. In other words, we have a “speed” concept that has been introduced by repeating the experiment multiple times at increasing phase-encoding gradient strengths.

In fact, one can think of an infinite number of two-vector combinations that can produce the same result. It is the equivalent to the futile attempt of trying to determine the exact path of a journey from its starting and ending points alone. The solution to unscrambling the y-axis positionencoded information from the phase of the magnetization vectors lies with converting this phase information into frequency information, which the Fourier transformation can deal with. Let us consider the effects of the phase-encoding gradient pulse seen in Fig.

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