Synopsis
Magnetic resonance imaging (MRI)
is a powerful and versatile modality for preclinical studies. A particular
strength of MRI is the wide variety of different image “contrasts”, many of
which do not involve use of external contrast agents, that are available in
imaging studies. These contrasts derive from the rich physics associated with
the interaction of nuclear spins with external magnetic fields. This talk will
provide an introduction to these physical principles. The presentation will be
didactic in nature, with an emphasis on principles and insights, rather than
equations and mathematics.
Magnetic resonance imaging (MRI)
is a powerful and versatile modality for preclinical studies. A particular
strength of MRI is the wide variety of different image “contrasts”, many of
which do not involve use of external contrast agents, that are available in
imaging studies. These contrasts derive from the rich physics associated with
the interaction of nuclear spins with external magnetic fields. This talk will
provide an introduction to these physical principles.
The presentation will be didactic
in nature, with an emphasis on principles and insights, rather than equations
and mathematics. Many nuclei have the inherent physical property of “spin”,
making them active for nuclear magnetic resonance (NMR) spectroscopy and
imaging. Here, we focus on spin-1/2 nuclei, including 1H, 31P,
and 13C. In the absence of an external magnetic field, such
spins-1/2 have two degenerate energy levels. In the presence of a field, these
levels split into a low-energy state (spin aligned “parallel” to the field) and
a high-energy state (spin aligned “anti-parallel” to the field) to the field.
The lower energy state is preferentially populated, according to the Boltzmann
factor. For an ensemble of nuclear spins, the difference between the number of
spins parallel and anti-parallel to the external field generates a net magnetic
moment (“magnetization”) that represents the available signal for MR
spectroscopy and imaging experiments. As the strength of the external field
increases, the energy difference between parallel and anti-parallel spin
alignments increases. This drives an increase in the population difference between
spin states, resulting in an increase in the magnitude of the net magnetic
moment and, thus, signal intensity. This is one of the factors driving the push
to the development of higher magnetic field scanners.
In general, detectors on MR
scanners are unable to directly detect magnetization that is oriented along the
direction of the applied magnetic field, designated by convention as the “z”
direction. Instead, an MR experiment generally begins with the application of
one or more radio-frequency (RF) pulses that nutate the net magnetization into
the (“x-y”) plane perpendicular to the static field. The magnetization then
precesses about the external field at a frequency (the so-called Larmor
frequency) that is directly proportional to the field strength. The constant of
proportionality, designated as the magnetogyric ratio, is nucleus specific.
As magnetization precesses in the
x-y plane, variations in the precession frequency for different groups of spins
will lead to a loss of phase coherence (“fanning out” of the magnetization
vector), with a corresponding loss of MR signal. This “transverse relaxation” process
is describable by time constants T2 or T2*. At the same time, the nuclear spins
interact with their environment (the “lattice”), causing the net magnetization
to return to its equilibrium direction along the static magnetic field. This
“longitudinal relaxation” process is describable by the time constant T1.
Together, these processes reflect a return to the state of thermal equilibrium
and are globally referred to as relaxation phenomena: (i) the loss of signal due
to loss of phase coherence amongst the vast number of spins that make up the
macroscopic magnetic moment is referred to as transverse, or T2, or spin-spin
relaxation; (ii) the restoration of the macroscopic magnetic moment along the direction
of the static field is referred to as longitudinal, T1, or spin-lattice
relaxation. Differences in T1 and T2 relaxation time constants amongst
different tissues, and between healthy and pathologic tissue, are routinely
used to generate image contrast in MRI experiments.
As noted above, the observed MR (Larmor)
frequency at which nuclear spins precess about a magnetic field is directly
proportional to the strength of the field. Thus, for nuclear spins (e.g., 1H)
in a single molecular species (e.g., water) in a uniform magnetic field, MR
signal will be observed at a single, well-defined frequency. A single resonance
line whose frequency is the same at all positions within a sample is
incommensurate with MR as an imaging technique. Creating a dependence of MR
signal frequency on position, as required for imaging, requires the use of
magnetic-field gradients. Applying a strong, constant gradient in a specific,
well-defined spatial direction creates a linear change in the magnetic-field
strength (a linear function of spatial coordinate) alone the gradient axis.
This results in the one-to-one correspondence between MR frequency and position
necessary to produce a one-dimensional image. These considerations are easily
generalized to the generation of three- dimensional images through the
application of combinations of gradients in three orthogonal directions. MR
data are typically collected in the presence of applied magnetic-field
gradients, in what is known as spatial-frequency, or “k” space. In conventional
2D imaging, trajectories in k-space are generally represented by parallel lines
in the kx, ky plane. Multidimensional Fourier
transformation is then used to convert these k-space data into spatial images. Rapid acquisition of MR images
(e.g., echo-planar, fast spin-echo, spiral) involve data collection employing alternate
k-space trajectories.
Dephasing of magnetization in the
transverse, x-y plane due to applied magnetic-field gradients or static inhomogeneities
in the local magnetic field can be reversed, causing the magnetization to
rephase and resulting in the formation of an “echo”. Echoes resulting from
reversing the sign of the applied magnetic-field gradient are designated as
“gradient echoes”, while those resulting from the application of one or more RF
pulses are labeled “spin echoes”. Echoes provide a particularly efficient way
of sampling k-space and are a standard component of most MR imaging sequences.
The vast majority of clinical and
preclinical MR imaging studies involve the detection of water. (“It’s all about
water!”) Water is ubiquitous in tissue – its high concentration provides the
necessary sensitivity for the detection of MR signal – and its MR properties,
including relaxation, are extremely sensitive to its local environment,
contributing to image contrast. As noted above, differences in relaxation time
constants T1 and/or T2 can serve as a powerful source of contrast amongst
organs and tissues. Standard, anatomic imaging methods take advantage of these
differences to generate “T1-weighted” and “T2-weighted” anatomic images that are
the workhorses of MR imaging studies.
MR contrast agents are compounds,
typically built around paramagnetic metal centers (e.g., Gd, Fe) that alter the
relaxation properties of accessible water. Unlike the use of positron emission
tomography (PET) tracers or optical agents, image contrast is generated not by
the direct observation of the contrast agent, but, instead, through the effect
of this agent on the relaxation properties of observed water.
In addition to relaxation
parameters T1 and T2/T2*, image contrast can be made sensitive to many other
properties of water, including:
Diffusion – Image contrast serves to measure the
incoherent motion of water within tissue.
Perfusion/Flow – Image contrast reflects coherent
flow.
Blood Oxygenation Level Dependence (BOLD) –
Image contrast is sensitive to the balance between diamagnetic oxyhemoglobin
and paramagnetic deoxyhemoglobin.
Magnetization Transfer (MT) – Image contrast
reflects transfer of magnetization between water and exchangeable protons on
neighboring macromolecules.
Acknowledgements
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