In clinical breast MRI, the dynamic contrast-enhanced (DCE) T1-weighted fat-suppressed scan plays an essential role for lesion detection and characterization. In order to improve temporal resolution of the dynamic scan, view-sharing techniques are typically used along with Dixon-based water-fat separation methods. However, there are several limitations and drawbacks of using Dixon-based techniques. In this work, we proposed to use chemical fat suppression with view-sharing to improve the temporal resolution of DCE breast MRI.
A fully-sampled ky-kz plane is first accelerated using partial Fourier and conventional data-driven parallel imaging8. For view-sharing, k-space is divided into a central region (A region) and multiple outer sub-regions (B regions, named as B1, B2, B3, …). Each Bi (i = 1, 2, 3, …) sub-region pseudo-randomly sub-samples the outer k-space in an interleaved fashion, which is needed for subsequent view-sharing reconstruction. Next, further segmentation of k-space is performed such that each chemical fat suppression pulse is played out and followed by the acquisition of a segment of k-space views, which contains points from both central A region and one outer Bi sub-region. The entire acquisition scheme will look like the following:
- First set of segments, with each segment containing one chemical fat suppression pulse followed by ky-kz views from a subset of A and a subset of B1
- Second set of segments, with each segment containing one chemical fat suppression pulse followed by ky-kz views from a subset of A and a subset of B2
- Third set of segments, with each segment containing one chemical fat suppression pulse followed by ky-kz views from a subset of A and a subset of B3
- Fourth set of segments, with each segment containing one chemical fat suppression pulse followed by ky-kz views from a subset of A and a subset of B1 (assuming there are only 3 outer Bi sub-regions)
- …
In the reconstruction, like conventional view-sharing reconstruction, each A region will be combined with its neighboring B sub-regions to form a parallel-imaging-ready k-space data set, and then reconstructed with conventional data-driven parallel imaging.
Two healthy volunteers were recruited and scanned on a 3.0T scanner (Discovery MR 750w, GE Healthcare, Waukesha, WI, U.S.A.) using a 8-channel breast coil (GE Healthcare). Scanning parameters included: axial field-of-view = 32 × 32 cm2, matrix size 448 × 448, 138 slices with 1.4mm thickness (then interpolated to 276 slices with 0.7mm thickness), flip angle = 10 degrees, BW = ±62.5 kHz, parallel imaging factor of 2 × 1 = 2. An adiabatic fat saturation pulse was used. Each volunteer received a single weight based dose (0.1 mmol/kg) of gadobenate dimeglumine (Multihance) power injected at 2 cc/sec followed by a 20 cc saline flush. One mask (non-view-shared) phase, four view-shared phases and two delayed non-view-shared phases were acquired. Each non-view-shared phase is 3 min, and each view-shared phase is 1 min. For comparison of fat suppression quality, a conventional chemical fat suppression sequence (incompatible with view-sharing) was obtained at the end.
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