Synopsis
In this talk we will discuss the pros and cons of 3D MSK imaging from a technical prospective. Using select examples, we will explore how the transition from 2D (slice-selective) to 3D (volumetric) imaging influences the contrast, resolution and acquisition time. The presentation will start with the fundamental principles of 3D imaging from which we will buildup to the latest developments, such as compressed sensing and magnetic resonance fingerprinting.
Highlights:
• Overview of the advantages and challenges of 3D imaging applied to MSK.
.
• Discussion of possible solutions for rapid 3D MSK imaging.
Target audience: Clinicians and researchers interested in rapid 3D MSK Imaging.
Objective: To provide
an non-exhaustive overview of the challenges associated with rapid 3D MSK imaging
and the techniques proposed to solve them.
Introduction
In
this talk we will discuss the pros and cons of 3D MSK imaging from a technical
prospective. Using select examples, we will explore how the transition from 2D
(slice-selective) to 3D (volumetric) imaging influences the contrast,
resolution and acquisition time. The
presentation will start with the fundamental principles of 3D imaging from
which we will buildup to the latest developments, such as compressed sensing
and magnetic resonance fingerprinting.
Advantages
and Challenges of 3D Imaging
Advantages: Volumetric MR methods facilitate
high resolution images with an isotropic voxel size. Such a uniformly spaced 3D
data set can be reformatted to visualize any desired plane, thereby eliminating
the need to repeat the same scan in different orientations. Moreover, all else being
equal, 3D methods have a higher signal to noise ratio [1].
Challenges: In general, it is not practical to switch from a 2D to a 3D
image encoding process and keep all other sequence parameters the same. Whereas
slice-selective sequences provide the opportunity to interleave multiple slices
within a single scan, volumetric sequences must acquire each line in k-space
sequentially. When a long repetition time (TR) is desired, the 2D multi-slice
approach is much more efficient than a volumetric acquisition because it can
sample all N slices within one single TR. In other words, the equivalent 3D
protocol would last N times longer. Simply decreasing the TR to compensate for
the reduced sampling efficiency is generally not an option, because it will
deteriorate the contrast between tissues. Alternatively, one could envision
increasing the “turbo factor” in a turbo spin echo sequence (TSE). The turbo factor reflects the number of
spin-echoes formed after each excitation and corresponds to the number of
k-space lines measured per TR. While a larger turbo factor will increase the
data sampling efficiency, it also lengthens the total duration of the spin echo
train. During this time the transverse magnetization relaxes (T2), attenuating
the signal intensity from one echo to the next. When these measurements are placed together in a
single 3D k-space, the different T2
weightings of these samples lead to blurring in the final image.
Solutions for 3D MSK imaging
Contrast weighted imaging: The majority of MSK protocols are
based on a TSE sequence with a relatively long TR. Several methods
have been proposed to replace multi-slice TSE based sequences with a volumetric
alternative. From a technical prospective these solutions can be divided into
two complementary categories: (1) sequence design and (2) under-sampling.
(1) Sequence design based strategies
aim to improve the rate at which k-space lines are acquired. One notable
solution was proposed by Mugler, et al.,[2]. Their optimized 3D-TSE sequence
strives to produce a more stable transverse magnetization throughout the
spin-echo train by varying the angle of the refocusing pulses. With effective
turbo factors as high as a 100, the total acquisition time can be made
comparable to traditional 2D-TSE protocols while offering a higher
through-plane resolution [3].
(2) Undersampling strategies strive
to minimize the number of samples needed to reconstruct the final image. When imaging an extended volume, the region can be covered by a larger number receive coils distributed
in multiple directions. With a suitable receiver array-coil, undersampling
in orthogonal directions results in a significantly lower g-factor penalty [4, 5,
6], Moreover, compared to a 2D sampling strategy, there are more ways in which
the samples can be distributed in 3D k-space. Incoherent sampling combined with
compressed sensing can enable previously unprecedented acceleration factors [7],
which can help facilitate volumetric MSK imaging within a clinically expectable
time.
Quantitative Imaging: Volumetric quantitative imaging
methods can be relatively fast. Sequences such as DESPOT [8], use a relatively short
TR and can measure T1 and T2 within a clinically acceptable time. Aside from the diagnostic benefits of
quantitative measures, a complete set of multi-parametric maps can also be used
to synthesize contrast weighted images that would have otherwise taken to much
time to measure. However, such quantitative methods are often more susceptible
to experimental imperfections such as B0 and B1-field non-uniformities. Magnetic
resonance fingerprinting [9,10,11] may be able to overcome these hurdles by quantifying
the B0 and B1 distribution and isolate their contribution from the desired
tissue specific parameters [9, 12].
Summary
High
resolution volumetric imaging in MSK allows retrospective reformatting of the
data into any desired plane. However, it can be a challenge to obtain such a 3D dataset with the desired contrast within a clinically acceptable time frame.
Acknowledgements
No acknowledgement found.References
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