Synopsis
Quantitative Susceptibility Mapping (QSM) is an emerging technique for measuring the magnetic susceptibility of tissue throughout the body. Within human tissue, the presence of certain biomaterials or pathologies can causes a large change in the magnetic susceptibility of the tissue. Knowledge of the magnetic susceptibility of the particular tissue may be useful in characterizing these conditions.Educational Objectives
·
Understand the basic principles of quantitative
susceptibility mapping (QSM)
·
Appreciate the technical challenges of QSM
·
Become familiar with emerging applications of
QSM in the body
Quantitative Susceptibility Mapping (QSM) in the Body
Basic Principles of QSM
Magnetic susceptibility
is a quantitative property of all materials. The susceptibility of a material
is a quantitative measure of its degree of magnetization in response to an
applied magnetic field. Materials with larger absolute susceptibility tend to
interact with and distort the applied magnetic field more significantly than
materials with smaller susceptibility.
Within human tissue,
the presence of certain biomaterials (e.g. iron, gadolinium) causes a large
change in the magnetic susceptibility of the tissue, in direct proportion to
the concentration of that biomaterial. Thus, knowledge of the magnetic
susceptibility of a particular tissue, such as iron-overloaded liver, can be
used to determine the concentration of the biomaterial within that tissue.
MRI is inherently
sensitive to the magnetic susceptibility of tissue. The susceptibility
distribution of the tissue being imaged distorts the main magnetic field. The
mathematical relationship between the magnetic susceptibility map and the
resultant magnetic field distortion is modeled as a convolution with a known
unit dipole kernel.
The goal of QSM is to
invert this relationship; that is, to estimate the magnetic susceptibility map
from the magnetic field distortion. The field distortion manifests as a phase
shift, which can be measured using a gradient-echo acquisition. From these
acquired data, a series of steps is performed (i.e. QSM) to estimate the
susceptibility map.
General
Technical Challenges of QSM
In general, there are
two main technical challenges of QSM: 1) background field removal, and 2)
dipole deconvolution.
Background
Field Removal
The background magnetic
field arises from susceptibility sources that are either outside the volume of
interest (VOI) or MR-invisible (e.g. air). Nevertheless, the effects of these
sources must be removed in order to properly estimate the susceptibility
distribution in the VOI. Techniques for background field removal have been
developed, particularly for QSM in the brain. These techniques include the projection
onto dipole fields (PDF) method as well as the sophisticated harmonic artifact
reduction on phase data (SHARP) method.
Dipole
Deconvolution
Following background
field removal, the magnetic field resulting from the susceptibility
distribution of the VOI remains. The dipole deconvolution step deconvolves the
unit dipole kernel, to recover the susceptibility distribution. The
deconvolution is an ill-posed inverse problem since the dipole kernel contains
zeros (in the Fourier domain) at the magic angle (54.74°).
Regularization techniques for the dipole deconvolution have been proposed, both
in the Fourier domain and in the image domain.
Additional
Technical Challenges of QSM in the Body
When performing QSM in
the body (i.e. outside of the brain), additional technical challenges must be
addressed, including: 1) motion during the acquisition, 2) the presence of fat,
and 3) large susceptibility shifts.
Motion
Motion (respiratory,
cardiac, etc.) during the acquisition introduces artifacts that can propagate
to the estimated susceptibility map. The development of motion-insensitive (e.g.
breath-held, free-breathing, cardiac-gated) acquisitions is an active area of
research that will be of benefit to QSM in the body.
Presence
of Fat
Fat is present
throughout the body. Fat introduces additional phase shifts into the MRI signal
that can be misinterpreted as originating from the main magnetic field. Errors
in the estimated magnetic field map will propagate to the estimated
susceptibility map. Water-fat imaging techniques have been developed that
properly account for the presence of fat, resulting in unbiased estimates of
the magnetic field.
Large
Susceptibility Shifts
The concentration of
certain biomaterials in the body, such as iron, can be significantly greater
than in the brain. High concentrations of these biomaterials cause large shifts
in the magnetic susceptibility of tissue, which increases R2* relaxation in
those tissues. Pulse sequences must be optimized to properly sample the signal
in these regions of rapid signal decay. Research is ongoing to develop and
optimize sequences for this regime.
Applications of QSM in the Body
QSM in the
body is in the relatively early stages of technical development. However,
techniques have been developed that demonstrate the feasibility of QSM
throughout the body. These include applications for improved detection of
calcifications in the breast, quantification of iron concentration in the
liver, detection of inflammation and fibrosis in the kidney, assessment of
tissue function in the heart, and quantification of iron in whole-body imaging.
Further
technical development as well as clinical studies will be necessary to
characterize the accuracy, precision, and reproducibility of techniques for QSM
of the body, in order to fully elucidate their value.
Acknowledgements
The author acknowledges the support of the NIH (R01DK083380,
R01DK088925, and R01DK100651).References
The following readings provide
a general overview about many of the concepts that will be covered during this
presentation.
1. Schenck JF. The role of magnetic
susceptibility in magnetic resonance imaging: MRI magnetic compatibility of the
first and second kinds. Medical Physics 1996;23(6):815-850.
2. Wang Y, Liu T. Quantitative susceptibility
mapping (QSM): decoding MRI data for a tissue magnetic biomarker. Magnetic Resonance
in Medicine 2015;73(1):82-101.
3. Liu C, Wei H, Gong N-J, Cronin M, Dibb R,
Decker K. Quantitative susceptibility mapping: contrast mechanisms and clinical
applications. Tomography 2015;1(1):3-17.