Keywords: Data Processing, Brain, High-Field MRI, Data Analysis, Analysis/Processing, Neuroscience, Multi-Contrast, Data processing, Neuro, Signal Representations
Motivation: MPRAGE is the standard high-resolution T1w sequence used for anatomical MRI. Very few sequences propose such a high Gray-White matter contrast with high-resolution.
Goal(s): Propose a novel technique that computes MPRAGElike images if spoiled GRE images with different T1w (and more) contrasts are available.
Approach: MPRAGE and Multi-Parameter Mapping (MPM) images were acquired on 16 subjects across three 7T sites. MPM images were used to produce three variations of MPRAGElike and one synMPRAGE images. SNR and CNR were evaluated against the MPRAGE.
Results: Our proposed MPRAGElike technique gave larger SNR than MPRAGE in most ROIs while also having superior CNR compared to synMPRAGE.
Impact: Neuroscientists with Multi-Parameter Mapping sequences in their protocols can compute MPRAGElike images which exhibit highly similar image quality as a typical MPRAGE and better than one previously reported technique producing synthetic MPRAGE.
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