End-systolic Myocardial Perfusion MRI Using a Hybrid 2D/3D Steady-State Acquisition Scheme: Towards Reliable Detection of Subendocardial Ischemia in Coronary Microvascular Dysfunction
Behzad Sharif1, Rohan Dharmakumar1, Daniel Berman2, Debiao Li1, and Noel Bairey Merz2

1Biomedical Imaging Research Institute, Dept of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States

Synopsis

A significant portion of patients with ischemic heart disease suffer from coronary microvascular dysfunction. Despite intense interest and several recent advancements, reliable diagnosis of coronary microvascular dysfunction on the basis of stress first-pass perfusion (FPP) cardiac MRI is an ongoing challenge. We hypothesized that high-resolution systolic FPP imaging can detect diffuse vasodilator-induced subendocardial defects and transmural perfusion gradients consistent with microvascular dysfunction in a swine model of diet-induced diabetes with no obstructive disease. To this end, we developed, optimized, and tested a new high-resolution FPP method with hybrid 2D/3D excitation capable of imaging all myocardial slices at the end-systolic phase.

Background

Among the spectrum of patients without known disease undergoing elective invasive angiography, nearly 40% do not have coronary artery disease (CAD).1 It is likely that a significant portion of such patients suffer from ischemic heart disease with underlying coronary microvascular dysfunction (CMD).2 Despite intense interest and several recent advancements, reliable diagnosis of CMD on the basis of stress first-pass perfusion (FPP) cardiac MRI is an ongoing challenge. We hypothesized that high-resolution systolic FPP imaging can detect diffuse stress-induced subendocardial defects and transmural perfusion gradients (TPGs) consistent with CMD in a swine model of diet-induced diabetes with no obstructive CAD. To this end, we developed, optimized, and tested a new high-resolution FPP method with hybrid 2D/3D excitation capable of imaging all myocardial slices at the end-systolic phase.

Purpose

To develop a new steady-state "continuous" acquisition scheme for end-systolic first-pass perfusion myocardial MRI at 1.2x1.2 mm2 in-plane resolution, and test its effectiveness for reliable detection of subendocardial perfusion defects in a large animal model of coronary microvascular dysfunction.

Methods

Yucatan mini-pigs (n=8 males) were fed either a high-fat high-sugar diet (n=4 “HFHS” group) or a normal chow diet (n=4 aged-matched “control” group) for ~20 weeks. Compared to controls, the HFHS pigs were obese (68±8 kg vs. 45±7), and had abnormally elevated fasting glucose (177±19 mg/dL vs. 94±12) and insulin levels, indicating early-stage type-2 diabetes and expected to have CMD based on previous validation studies.3 Obstructive CAD was ruled out in all pigs using invasive coronary angiography on the day of the MRI study, consistent with normal serum lipid levels in all animals. There was no difference between baseline arterial systolic blood pressure between the two groups measured during anesthesia (112±8 mmHg vs. 109±6) suggesting absence of hypertension in the HFHS group. Vasodilator stress/rest FPP data (adenosine dose: 210 μg/kg/min) was acquired using a novel T1-weighted steady-state ungated pulse sequence with spoiled GRE readouts (without saturation recovery preparation). Fig. 1 describes the proposed hybrid 2D/3D acquisition scheme in comparison to (a) the conventional magnetization-prepared approach, and (b,c) two recently-introduced “continuous” ungated 3D4 and 2D5 methods, respectively. The developed pulse sequence used a 16-degree flip angle for both 2D and 3D pulses, which was determined based on phantom experiments to achieve maximal contrast-to-noise ratio (echo spacing = 2.5 ms, acquired in-plane resolution: 1.2x1.2 mm2). Images were reconstructed using a recently-validated compressed sensing (CS) scheme for accelerated radial FPP imaging,5 based on a data-adaptive “reference constrained” transform, described in Fig. 2(a). An overview of the reconstruction scheme is provided in Fig. 2(b). The “real-time” navigator (Step 1) is generated by low-resolution reconstruction of the mid ventricular slice at a frame rate of 30 frames/s. Following systolic self-gating (automatic assignment of end-systolic time stamps), a set of sliding window “reference frames” are reconstructed using conjugate-gradient SENSE for each of the 3 slices and used to perform end-systolic time-resolved reconstruction for all 3 slices. The CS scheme incorporated apodization to minimize the subendocardial dark-rim artifact. TPG analysis was performed according to a previously established approach.6

Results

Representative myocardial perfusion images for a HFHS pig are shown in Fig. 3(a) demonstrating presence of global adenosine-induced subendocardial perfusion defects at the end-systolic phase. The zoomed-in image in Fig. 3(b) shows the highly-resolved subendocardium with >10 pixels covering the transmural distance. Visual assessment of stress FPP images (2 blinded readers in consensus) showed normal perfusion in the control group but a delayed wash-in of contrast in the subendocardium vs. subepicardium for all HFHS pigs. Quantitative TPG analysis, shown in Fig. 4, demonstrated a significantly higher mean TPG across all myocardial segments in HFHS pigs compared to controls (slice-averaged value: 24%±5% vs. 5%±3%), consistent with the qualitative results (example shown in Fig. 3).

Discussion and Conclusion

The developed steady-state FPP imaging approach with hybrid 2D/3D acquisition is the first method to enable reconstruction of all myocardial slices at the end-systolic phase with an unprecedented 1.2x1.2 mm2 resolution without the need for ECG gating. The significantly higher TPG for the HFHS pigs is indicative of impaired myocardial perfusion reserve in the subendocardial layer (corresponding to the location of the microvascular network) during stress, consistent with CMD. In conclusion, the presented results demonstrate that subendocardial ischemia and stress-induced TPGs can be visually detected in the absence of obstructive CAD using the developed high-resolution end-systolic FPP method. The combination of high in-plane resolution, end-systolic imaging of all slices, and dark-rim-minimized reconstruction enables reliable detection of perfusion defects at the subendocardial layer. Our results suggest that this methodology may be a promising approach for accurate diagnosis of CMD in clinical settings.

Acknowledgements

Grant sponsor: NIH National Heart, Lung and Blood Institute; Grant number: NIH K99/R00 HL124323.

References

1. Patel MR et al., New England J Med 2010; doi: 10.1056/NEJMoa0907272

2. Camici P et al., New England J Med 2007; doi: 10.1056/NEJMra061889

3. van den Heuvel M et al., Am J Physiol Heart 2012; doi: 10.1152/ajpheart.00311.2011

4. DiBella EVR et al., Magn Reson Med 2012; doi: 10.1002/mrm.23318

5. Sharif B et al., Magn Reson Med 2015; doi: 10.1002/mrm.25752

6. Hautvast G et al., Magn Reson Med 2011; doi: 10.1002/mrm.22930

Figures

Figure 1. First-pass perfusion acquisition schemes with GRE readouts for (a): conventional method, (b): 3D stack-of-stars steady-state acquisition4, (c): 2D magnetization-driven acquisition5, and (d): the proposed hybrid 2D/3D scheme (* denotes a dummy readout). In (d), 3D non-selective RF pulses are used to drive the magnetization to steady-state while reading out 2D slices in an interleaved fashion to maximize the effective TR per slice hence optimizing the signal-to-noise.

Figure 2. (a): Demonstration of the improvement in sparsity after application of a “reference-constrained” difference operator5 followed by the gradient operator (image-domain finite differences). (b): Overview of the image reconstruction scheme: sparsity of the difference frame (FPP time frame subtracted from the reference frame) and its gradient are exploited in the reference-constrained compressed sensing (CS) technique, similarly to a recently validated FPP reconstruction framework.5

Figure 3. (a): End-systolic adenosine stress/rest perfusion images in a HFHS pig (peak myocardial enhancement phase) using the developed end-systolic FPP method (prescribed resolution: 1.2 x 1.2 mm2). The stress-induced perfusion defects are all subendocardial and are present across all myocardial slices and vessel territories, consistent with CMD. (b): Zoomed-in stress image (mid slice) shows the highly-resolved myocardium with multiple “defect pixels” present across the subendocardium.

Figure 4. Results for quantitative assessment of myocardial perfusion gradients using the previously established6 transmural perfusion gradient (TPG) analysis method. (a): Comparison of slice-averaged mean TPG (normalized value) for the HFHS versus control pigs, showing a significantly higher TPG value for the HFHS group in comparison to controls (24%±5% vs. 5%±3%). (b): Bull’s eye map of mean TPG (normalized value for each of the 16 segments) averaged across the 4 pigs in each group.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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