Abstract
PurposeTo develop a new high‐dimensionality undersampled patch‐based reconstruction (HD‐PROST) for highly accelerated 2D and 3D multi‐contrast MRI.MethodsHD‐PROST jointly reconstructs multi‐contrast MR images by exploiting the highly redundant information, on a local and non‐local scale, and the strong correlation shared between the multiple contrast images. This is achieved by enforcing multi‐dimensional low‐rank in the undersampled images. 2D magnetic resonance fingerprinting (MRF) phantom and in vivo brain acquisitions were performed to evaluate the performance of HD‐PROST for highly accelerated simultaneous T1 and T2 mapping. Additional in vivo experiments for reconstructing multiple undersampled 3D magnetization transfer (MT)‐weighted images were conducted to illustrate the impact of HD‐PROST for high‐resolution multi‐contrast 3D imaging.ResultsIn the 2D MRF phantom study, HD‐PROST provided accurate and precise estimation of the T1 and T2 values in comparison to gold standard spin echo acquisitions. HD‐PROST achieved good quality maps for the in vivo 2D MRF experiments in comparison to conventional low‐rank inversion reconstruction. T1 and T2 values of white matter and gray matter were in good agreement with those reported in the literature for MRF acquisitions with reduced number of time point images (500 time point images, ~2.5 s scan time). For in vivo MT‐weighted 3D acquisitions (6 different contrasts), HD‐PROST achieved similar image quality than the fully sampled reference image for an undersampling factor of 6.5‐fold.ConclusionHD‐PROST enables multi‐contrast 2D and 3D MR images in a short acquisition time without compromising image quality. Ultimately, this technique may increase the potential of conventional parameter mapping.
Highlights
In Magnetic Resonance Imaging (MRI), multiple contrasts are exploited to extract clinically relevant tissue parameters and pathological tissue changes
HD-PROST enables multi-contrast 2D and 3D MR images in a short acquisition time without compromising image quality. This technique may increase the potential of conventional parameter mapping
An increase in precision was observed for both T1/T2 values using the proposed HD-PROST reconstruction compared with low-rank inversion (LRI) even for reconstructions with 500 time-points, corresponding to 2.5s scan time
Summary
In Magnetic Resonance Imaging (MRI), multiple contrasts are exploited to extract clinically relevant tissue parameters and pathological tissue changes. These multiple contrasts are achieved using different imaging sequences and preparation pulses. Multicontrast acquisitions find important applications in parameter mapping (e.g. T1 and T2 mapping) and magnetic resonance fingerprinting (MRF) (1,2). These acquisitions lead to long scan times since multiple images with different contrasts need to be acquired, making parameter imaging more sensitive to physiological motion (3–6). PI can accelerate multi-contrast imaging by undersampling each individual image and exploiting the information provided by multiple coil arrays, yet at a signal-to-noise ratio (SNR)
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