Q-space trajectory imaging (QTI) provides promising markers of tissue microstructure, but clinical translation requires shorter acquisitions, faster analysis, and more robust parameter estimation at high spatial resolution. To address these barriers, we trained a voxel-wise multilayer perceptron (MLP) to infer QTI-derived scalar parameters directly from the diffusion signal. We established reference QTI parameters of the brain in 18 healthy subjects using constrained fitting on 50-min QTI scans. The MLP was trained to estimate those reference parameters from a five-minute subset of the diffusion data. We compared the MLP with the constrained fit applied to the same short-protocol input, computing normalized root mean squared error, peak signal-to-noise ratio, and structural similarity with respect to the reference. Here, the MLP consistently achieved better performance metrics, with normalized root mean squared errors up to two-fold lower. For one whole-brain dataset, MLP inference reduced computation time from more than an hour with constrained fitting to a few seconds. Robustness to lower SNR was tested in a separate 1.7 mm isotropic voxel size acquisition of the full protocol, in which the MLP retained lower errors and less visually apparent noise. Finally, we demonstrate qualitative feasibility in two glioma patients scanned with the short protocol. We conclude that a simple MLP can provide high-quality QTI parameter estimates from short tensor-valued diffusion acquisitions. This enables five-minute, high-resolution QTI and may encourage further clinical studies of markers such as microscopic fractional anisotropy.
Oliver Gödicke, Jin-Yang Yu, F. Laun et al.· Magnetic Resonance Imaging· 0 citations
PURPOSE
Most sites develop and use custom coils for 7 T body MRI since no standard pTx body coil exists, leading to diverse coil designs differing in transmit element type, layout, and number of receive channels. This study investigates and compares eight existing coils, including one remote body coil array and seven local arrays, regarding their transmit and receive performance.
METHODS
Phantom measurements were conducted with all coils on the same 7 T scanner, using the same phantom and imaging protocol. Transmit performance was compared in terms of B1 + efficiency and coverage. Receive performance was compared in terms of SNR, coverage, noise correlation, and g-factors.
RESULTS
Mean B1 + efficiency ranged from 2.02 to 4.33 μT/√kW across configurations, lowest for the remote array and highest for an 8Tx8Rx local array. Central SNR ranged from 278 to 1072, increasing with receive element count and peaking for an 8Tx32Rx configuration. HF-excitation-coverage ranged from 34 to 384 mm, and HF-receive-coverage from 135 to 384 mm, with the remote array combined with a local 32Rx array achieving highest coverage. Acceleration performance improved with increasing receive element count in the corresponding direction. An 8Tx16Rx and an 8Tx32Rx arrays performed best in LR-/AP-direction and the 32Rx array in HF-direction.
CONCLUSION
No existing local pTx coil provides universally optimal performance, as each design offers different advantages in either B1 + efficiency, coverage, SNR, or acceleration. Among the local arrays, the 8Tx32Rx array (C5) might represent a reasonable compromise with respect to the parameters evaluated in this study, as it exhibits the highest central SNR, high coverage, and acceleration.
Johannes A Grimm, O. Kraff, M. May et al.· Magnetic Resonance in Medici...· 0 citations
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