In its most basic form, the MR experiment can be analyzed in terms of energy transfer. During the measurement process, the patient or sample is exposed to energy at the correct frequency that will be absorbed. A short time later, this energy is reemitted, at which time it can be detected and processed. A detailed presentation of the processes involved in this absorption and reemission requires the use of linear response theory, which is beyond the scope of this book. However, a general description of the nature of the molecular interactions is useful. In particular, the relationship between the molecular picture and the macroscopic picture provides an avenue for explanation of the principles of MR.
When the transmitter is turned off, the protons immediately begin to realign themselves and return to their original equilibrium orientation. They emit energy at frequency ω0 as they do so. In addition, the net magnetization will begin to precess about B0 similar to the behavior of a gyroscope when tilted away from a vertical axis. If a loop of wire (receiver) is placed perpendicular to the transverse plane, M0 will induce a voltage in the wire during its precession. This induced voltage, the MR signal, is known as the FID, or free induction decay (Figure 2.3a). The initial magnitude of the FID signal depends on the value of M0 immediately prior to the 90° pulse. The FID decays with time as more of the protons give up their absorbed energy through a process known as relaxation (see Chapter 3) and the coherence or uniformity of the proton motion is lost.
In general, three components of an MR signal are of interest: its magnitude or peak amplitude, its frequency, and its phase or direction relative to the RF transmitter phase (Figure 2.4). As mentioned previously, the signal magnitude is related to the value of M0 immediately prior to the RF pulse. The signal frequency is related to the magnetic field influencing the protons. If all the protons experience the same magnetic field B0, then only one frequency would be present within the FID. In reality, the magnetic field varies throughout the magnet and inside the patient, and thus the MR signal contains many frequencies varying as a function of time following the RF pulse. It is easier to examine such a multicomponent signal in terms of frequency rather than of time. The conversion of the signal amplitudes from a function of time to a function of frequency is accomplished using a mathematical operation called the Fourier transformation. In the frequency presentation or frequency domain spectrum, the MR signal is mapped according to its frequency relative to a reference frequency, typically the transmitter frequency ωTR. For systems using quadrature detectors (see Chapter 13), ωTR is centered in the display with frequencies higher and lower than ωTR located to the left and right, respectively (Figure 2.3b). The frequency domain thus allows a simple way to examine the magnetic environment that a proton experiences.
Since the proton precession is continuous, the MR signal is continuous or analog in nature. However, postprocessing techniques such as Fourier transformation requires a digital representation of the signal. To produce a digital version, the FID signal is measured or sampled using an analog-to-digital converter (ADC). In most instances, the resonant frequencies of protons are greater than many ADCs can process. For this reason, a phase-coherent difference signal is generated based on the frequency and phase of the input RF pulse; that is, the signal actually digitized is the measured signal relative to ωTR. This is equivalent to examining the signal in a frame of reference rotating at ωTR. Under normal conditions, this so-called demodulated signal is digitized for a predetermined time known as the sampling time and with a user-selectable number of data points. In such a situation, there will be a maximum frequency, known as the Nyquist frequency ωNQ, that can be accurately measured:
In MR, the Nyquist frequency typically ranges from 500 to 500,000 Hz, depending on the combination of sampling time and number of data points. To exclude frequencies greater than the Nyquist limit from the signal, a filter known as a low pass filter is used prior to digitization. Frequencies excluded by the low pass filter are usually noise, so that filtering provides a method for improving the signal-to-noise ratio (SNR) for the measurement. The optimum SNR is usually obtained by increasing the sampling time to match the Nyquist frequency and low pass filter width for the particular measurement conditions. For quadrature detection systems typically used in MR, the total receiver bandwidth is 2 * ωNQ centered about ωTR (Figure 2.3b).
The specific frequency that a proton absorbs is dependent on magnetic fields arising from two sources. One is the applied magnetic field B0. The other one is molecular in origin and produces the chemical shift. In patients, the bulk of the hydrogen MR signals arise from two sources, water and fat. Water has two hydrogen atoms bonded to one oxygen atom while fat is heterogeneous in nature, with many hydrogen atoms bonded to a long chain carbon framework (typically 10–18 carbon atoms in length). Because of its different molecular environment, a water proton has a different local magnetic field than a fat proton. This local field difference is known as chemical shielding and produces a magnetic field variation that is proportional to the main magnetic field B0:
where Bi is the magnetic field and σi is the shielding term for proton i. Chemical shielding produces different resonant frequencies for fat and water protons under the influence of the same main magnetic field. Because the shielding term is typically small (∼10−4–10−6), these frequency differences are very small. It is more practical to analyze the frequencies using these differences rather than using absolute terms. A convenient scale to express frequency differences is the ppm scale, which is the resonant frequency of the proton of interest relative to a reference frequency:
Frequency differences expressed in this form are known as chemical shifts. While the choice of ωref is arbitrary, a convenient choice is ωTR. The primary advantage of the ppm scale is that frequency differences are independent of B0. For fat and water, the difference in chemical shifts at all field strengths is approximately 3.5 ppm, with fat at a lower frequency. At 1.5 T, this difference is 220 Hz, while at 3.0 T, it is 450 Hz (Figure 2.5).
The chemical shift difference between fat and water can be visualized in the rotating frame. A 150 Hz difference in frequency means that the fat resonance precesses slower than the water resonance by 6.7 ms per cycle (1/150 Hz). The fat resonance will align with or be in phase with the water resonance every 6.7 ms at 1.0 T. For a 1.5 T MR system, the same cycling will occur every 4.5 ms (1/220 Hz) and every 2.25 ms for a 3.0 T system (Figure 2.6). The 3.5 ppm chemical shift difference mentioned previously is an approximate difference. The fat resonance signal is a composite from all the protons within the fat molecule. The particular chemical composition (e.g., saturated versus unsaturated hydrocarbon chain, length of hydrocarbon chain) determines the exact resonant frequency for this composite signal. The 3.5 ppm difference applies to the majority of fatty tissues found in the body. Chemical shift differences between protons in different molecular environments provide the basis for MR spectroscopy, which is described in more detail in Chapter 13.