Yichen Hu1, Junpu Hu2, Zheng Zhong1, Abraham Padua1, Qi Liu1, Yongquan Ye1, and Jian Xu1
1United Imaging Healthcare, Houston, TX, United States, 2United Imaging Healthcare, Shanghai, China
Synopsis
Keywords: MR-Guided Interventions, MR-Guided Interventions, 3D real-time imaging
Motivation: MRI excels in exceptional soft tissue delineation and its radiation-free nature in interventional contexts. However, achieving effective 3D real-time tracking with MRI poses a significant challenge.
Goal(s): To facilitate 3D real-time monitoring and navigation, achieving a high temporal resolution and enhanced spatial resolution that precisely captures the movement of small interventional instruments.
Approach: We utilized a manually controlled device and employed highly accelerated golden-angle rotated spiral-in/out sequence with randomized variable density kz encoding, along with a specifically tailored iterative reconstruction algorithm.
Results: High temporal (150 ms/phase) and spatial (0.7×0.7×1.5 mm3) resolutions were achieved, smoothly visualizing minute movements in 3D within our phantom setup.
Impact: The
SPARTA-3D approach holds the promise of revolutionizing interventional MRI by
meeting the crucial demand for 3D real-time tracking and navigation. It could facilitate
more rapid and less invasive procedures, opening up novel avenues in the domain
of MR-guided interventions.
Introduction
MRI
is renowned for its exceptional soft tissue differentiation and the absence of
ionizing radiation exposure, thus is suitable for interventional applications.1,2
However, achieving three-dimensional (3D) real-time tracking of the interventional
tools and anatomical features is still a formidable task.3 Current
methodologies often fall short in providing the requisite precision, agility,
and 3D imagery crucial for meticulous intervention applications. To overcome
these obstacles, we present an innovative tracking technique, namely SPARTA-3D
(SPiral Accelerated Real-Time trAcking-3D), which employs spiral acquisition to
refine the speed and guidance precision used in interventional MRI. For
demonstration and validation, an in-house gel-based phantom and a slimline
probe were used to simulate tool motions in interventional MRI and test the 3D real-time
tracking capacity of the proposed method. Our approach marks a significant leap
forward, with the promise to improve the efficacy of MR-guided intervention
applications.Methods
A
custom-assembled jar phantom consisting of gel and test tubes imbued with
substances to create distinct MR contrasts was used. To mimic an interventional
maneuver, akin to the needle insertion into a vessel, a 2.5 mm narrow conduit
was manually guided through a descending motion (Figure 1a). The assembly was placed
within a 24-channel head coil for the experiment on a 1.5T system (uMR 680,
United Imaging Healthcare, Shanghai, China) (Figure 1b). To indicate the
commencement and conclusion of our process, a pre-penetration coronal image
(Figure 1c) and a post-penetration transverse image of the conduit (Figure 1d) are
displayed.
For
real-time observation, a high-speed 3D spiral-in/out capture method was
employed (Figure 2a), with the complete in-plane k-space trajectory shown in
Figure 2b. This technique, based on a balanced steady-state free precession
(bSSFP) sequence, ensures zeroth order moment nulling at each TR cycle's end
(Figure 2c, middle). Additionally, nulling for the first-order moments, a
specific advantage of spiral-in/out (Figure 2c, bottom), renders the imaging
insensitive to in-plane fluid flows.4 We used a 32-fold in-plane
acceleration to capture a single spiral-in/out interleaf out of 32 full-sample
interleaves in the kx-ky plane (Figure 3a). In the slice
direction, kz phase encoding employed a randomized variable density
scheme (Figure 3b), with each subsequent TR involving a 222.5° golden-angle
rotation.
Each set of 36 TRs produced a single temporal phase with data-sharing from the preceding 6 TRs, represented by overlapping colored shades in Figure 3. Key parameters included TR=5.0 ms, resulting in a temporal resolution of 150 ms (5.0 ms×(36-6)); TE=2.5 ms. k-space trajectories for the initial three phases are displayed in Figure 3c-e. Other conditions: a flip angle, 23°; FOV, 180×180 mm2; matrix size, 128×128; slice thickness 3 mm; and 12 slices. A two-fold interpolated spatial resolution of 0.7×0.7×1.5 mm3 can be achieved.
The
experimental procedure commenced when an operator, positioned beside the
scanner, initiated the conduit's descent into the gel phantom. The entire
process lasted for 10 seconds once the scanning was initiated. The initial 240
TRs were set for achieving a steady state and not included for reconstruction,
and 58 phases of 3D images were subsequently reconstructed. A gradient-impulse
response function (GIRF) correction was integrated with the k-space trajectory,5
and the data was processed through an iterative reconstruction incorporating
spatio-temporal constraints as specified in the referenced literature.6Results
Figure
4 showcases images from three orthogonal planes, which were captured upon the
reconstruction of the dynamic sequence following the completion of the
penetration activity. The regions where the conduit was inserted appeared dark.
In Figure 5, the dynamic process is rendered as a repeating movie, providing an
exceptional three-dimensional, multi-slice view that precisely delineates the
position and trajectory of the conduit’s penetration within the phantom, as
highlighted by the arrows. Before the conduit entered, the bright signal within
the conduit's path was attributed to water that had been pre-introduced.Discussion and Conclusion
We
unveiled a trailblazing strategy for 3D, real-time data capture in the context
of interventional MRI, capitalizing on the sophisticated spiral-in/out
acquisition technique. While we have attained an impressive temporal resolution
of 150 ms, there is potential for further enhancement to track even swifter
movements. This includes the unique advantage of adjusting the number of TRs
used for reconstructing a single phase, a distinctive feature of the SPARTA-3D
technique. Similarly, the in-plane spatial resolution can be refined to
sub-millimeter precision, allowing for meticulous monitoring of intervention
dynamics. This technique can be integrated with AI-driven real-time
reconstruction in future studies, and can offer a highly promising pathway
toward accomplishing live 3D data gathering and image
reconstruction in interventional MRI settings. This approach has the potential
to dramatically reform interventional MRI procedures and substantially improve
clinical outcomes.Acknowledgements
No acknowledgement found.References
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