Endogenous assessment of myocardial injury with single-shot model-based non-rigid motion-corrected T1 rho mapping

BACKGROUND

Cardiovascular magnetic resonance T1ρ mapping may detect myocardial injuries without exogenous contrast agent. However, multiple co-registered acquisitions are required, and the lack of robust motion correction limits its clinical translation. We introduce a single breath-hold myocardial T1ρ mapping method that includes model-based non-rigid motion correction.

METHODS

A single-shot electrocardiogram (ECG)-triggered balanced steady state free precession (bSSFP) 2D adiabatic T1ρ mapping sequence that collects five T1ρ-weighted (T1ρw) images with different spin lock times within a single breath-hold is proposed. To address the problem of residual respiratory motion, a unified optimization framework consisting of a joint T1ρ fitting and model-based non-rigid motion correction algorithm, insensitive to contrast change, was implemented inline for fast (~ 30 s) and direct visualization of T1ρ maps. The proposed reconstruction was optimized on an ex vivo human heart placed on a motion-controlled platform. The technique was then tested in 8 healthy subjects and validated in 30 patients with suspected myocardial injury on a 1.5T CMR scanner. The Dice similarity coefficient (DSC) and maximum perpendicular distance (MPD) were used to quantify motion and evaluate motion correction. The quality of T1ρ maps was scored. In patients, T1ρ mapping was compared to cine imaging, T2 mapping and conventional post-contrast 2D late gadolinium enhancement (LGE). T1ρ values were assessed in remote and injured areas, using LGE as reference.

RESULTS

Despite breath holds, respiratory motion throughout T1ρw images was much larger in patients than in healthy subjects (5.1 ± 2.7 mm vs. 0.5 ± 0.4 mm, P < 0.01). In patients, the model-based non-rigid motion correction improved the alignment of T1ρw images, with higher DSC (87.7 ± 5.3% vs. 82.2 ± 7.5%, P < 0.01), and lower MPD (3.5 ± 1.9 mm vs. 5.1 ± 2.7 mm, P < 0.01). This resulted in significantly improved quality of the T1ρ maps (3.6 ± 0.6 vs. 2.1 ± 0.9, P < 0.01). Using this approach, T1ρ mapping could be used to identify LGE in patients with 93% sensitivity and 89% specificity. T1ρ values in injured (LGE positive) areas were significantly higher than in the remote myocardium (68.4 ± 7.9 ms vs. 48.8 ± 6.5 ms, P < 0.01).

CONCLUSIONS

The proposed motion-corrected T1ρ mapping framework enables a quantitative characterization of myocardial injuries with relatively low sensitivity to respiratory motion. This technique may be a robust and contrast-free adjunct to LGE for gaining new insight into myocardial structural disorders.

MR evaluation of the glomerular homing of magnetically labeled mesenchymal stem cells in a rat model of nephropathy

PURPOSE

To assess renal glomerular homing of intravenously injected superparamagnetic iron oxide (SPIO)-labeled mesenchymal stem cells (MSCs) at in vivo and ex vivo magnetic resonance (MR) imaging in an experimental rat model of mesangiolysis.

MATERIALS AND METHODS

Animal procedures were performed in accordance with protocols approved by Institutional Animal Care and Use Committee. Fourteen rats were divided into two groups: one pathologic (n = 10), with persistent mesangiolysis following simultaneous injection of OX-7 monoclonal antibody and puromycin aminonucleoside in which 10(7) SPIO- and DiI-labeled MSCs were injected, and one control (n = 4). In vivo and ex vivo MR imaging examinations were performed with 4.7- and 9.4-T spectrometers, respectively, and T2*-weighted sequences. In vivo signal intensity variations were measured in the liver and kidney before and 6 days after MSC injection. Intrarenal signal intensity variations were correlated with histopathologic data by means of colocalization of DiI fluorescence, alpha-actin, and Prussian blue stain-positive cells. Histologic differences between the glomerular homing of MSCs in different kidney portions were correlated to the areas of MR signal intensity decrease with nonparametric statistical tests.

RESULTS

On in vivo images, signal intensity measurements of pathologic kidneys following MSC injection did not show any signal intensity decrease (P = .7), whereas a 34% +/- 14 (mean +/- standard deviation) signal intensity decrease was observed in the liver (P < .01), where a substantial number of labeled cells were trapped. On ex vivo images, pathologic kidneys showed focal cortical (glomerular) areas of signal intensity loss, which was absent in controls. The areas of low signal intensity correlated well with alpha-actin and Prussian blue stain- and DiI-positive areas (P < .01), which indicates that MSCs specifically home to injured tissue. No MSCs were detected in the kidneys of control animals.

CONCLUSION

Intravenously injected MSCs specifically home to focal areas of glomerular damage and can be detected at ex vivo MR imaging.