Yang Yang1, Li Zhao2, Xiao Chen3, Kelvin Chow4, Peter W. Shaw4, Jorge A. Gonzalez4, Frederick H. Epstein1,5, Craig H. Meyer1,5, Christopher M. Kramer4,5, and Michael Salerno1,4,5
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Radiology, Beth Israel Deaconess Medical Center & Harvard Medical, Boston, MA, United States, 3Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, United States, 4Medicine, University of Virginia, Charlottesville, VA, United States, 5Radiology, University of Virginia, Charlottesville, VA, United States
Synopsis
3D
CMR perfusion imaging enables whole ventricular coverage at the same cardiac
cycle permitting quantification of ischemic burden of patients being evaluated
for coronary artery disease. Current 3D techniques have limited
spatial-temporal resolution. We developed an efficient outer-volume suppressed
3D Stack-of-Spiral perfusion sequence with motion-guided compressed sensing
reconstruction which can acquire 20 partitions with 2 mm in-plane and 4 mm
through-plane resolution with a temporal foot print of 180 ms. A pilot
study of 10 subjects using this technique demonstrates clinically acceptable
image quality.Purpose
First-pass
contrast-enhanced myocardial perfusion CMR has proven to be a powerful noninvasive
technique for evaluating coronary artery disease
1.
Current techniques image a limited number of 2D slices, and small, but
clinically relevant perfusion defects may be missed. 3D perfusion imaging is potentially
advantageous for quantifying ischemic burden by covering the whole ventricle at
the same cardiac phase, but current techniques have limited spatiotemporal
resolution. Considering the heart only occupies a small portion of the chest,
reduced field-of-view (rFOV) perfusion imaging with 2D outer volume suppression
2 (OVS) significantly
improves sampling efficiency and has enabled single-shot 2D spiral perfusion
imaging
3. We hypothesized
that the application of OVS to 3D stack-of-spiral (SoS) perfusion imaging could
significantly reduce the temporal footprint while increasing the in-plane and
through-plane spatial resolution as compared to previous 3D approaches.
Methods
2D OVS
preparation was incorporated into a 3D centrically ordered SoS perfusion
sequence (Fig 1a). The OVS consists of a non-selective adiabatic BIR-4 tip-down
pulse, a 2D spiral spatially selective tip-back pulse and a spoiler to suppress
signal outside the heart (Fig 1b). The 3D sequence parameters included: FOV 170×170
mm
2, TE 1.0 ms, TR 9.0 ms, saturation recovery time 150 ms, flip
angle 35
o, 2×2 mm in-plane resolution, 20 partitions with 4 mm thickness,
180ms temporal footprint. For each partition, single 8 ms spiral with a dual
density design with a broad Fermi shape transition
4 was implemented
and the spiral trajectory was rotated by golden angle through time to generate an
incoherent k-t sampling pattern. The proposed sequence was performed in 10 healthy
subjects with a 0.075 mmol/kg Gd-DTPA bolus on a 1.5T Avanto Siemens scanner. The
data was reconstructed with two approaches: 1) (thin-slice) 2×2×4 mm with 180 ms
temporal footprint and 2) (high-temporal resolution) 2×2×8 mm with 90 ms
temporal footprint using only the central 10 partitions. Block LOw-rank Sparsity
with Motion guidance (BLOSM)
5 combined with
SENSE was used for image reconstruction. Images were graded on a 5 point scale (5
excellent, 1 poor) by a single cardiologist. 2×2×4 mm data-sets were also
interpolated to an isotropic 2x2x2 mm resolution for display in arbitrary image
orientations.
Results
Fig
1c shows the spatial profile of the 2D OVS with the 100 mm rFOV design. The 1D
spatial profile across the center (Fig 1d), illustrates the stopband at approximately
±400 mm, which was large enough to suppress the signals outside heart to
prevent spatial aliasing. Fig 2 shows perfusion images at a single time frame
during first-pass of contrast from one healthy volunteer using the 2 different
strategies: a) 10 slices with 2×2×8 mm and 90 ms temporal footprint presented
high SNR and good quality perfusion images; b) 20 slices with 2×2×4 mm and 180 ms
temporal footprint showed high through-plane resolution images with similar
image quality (3.6±0.6 vs 3.4±0.6 p=NS). By 2x sinc-interpolation of the 2x2x4
mm dataset, 40 slices with isotropic 2 mm resolution can be displayed (Fig 3) enabling
isotropic visualization of perfusion in short and long axis image orientations (Fig 4).
Discussion
OVS
enabled high resolution thin-slice (4 mm) 3D perfusion data to be acquired in
only 180 ms, while high temporal-resolution 3D data with 8mm slices can be
acquired in only 90 ms. 3D centrically ordered
allows for a flexible reconstruction strategy to produce either relative higher
SNR but lower through-plane resolution (8 mm) perfusion images or lower SNR but
higher through-plane (4 mm) resolution. The higher through-plane resolution could
reduce partial volume effects and provide better depiction of the apical slices.
The isotropic reconstruction provides the ability to reformat the data in arbitrary
slice orientations. The short temporal footprint 3D spiral acquisition should
have reduced sensitivity to cardiac motion as compared to techniques with a
longer temporal footprint resulting in sharper depiction of trabeculae and
papillary muscles.
Conclusion
We
demonstrated the successful application of rFOV 3D SoS perfusion techniques.
The high sampling efficiency using OVS enables 3D imaging with an excellent combination
of high in-plane and through-plane spatial resolution and a short temporal
footprint of 180 ms. The technique can also achieve 3D perfusion coverage with
an 8mm slice thickness in 90 ms, a temporal footprint shorter than most
clinically available 2D perfusion pulse sequences. Further validation will be
required in patients undergoing adenosine stress CMR.
Acknowledgements
Grant
funding provided by NIH K23 HL112910 and T32 EB003841References
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