Brain exams would ideally include 3D quantitative maps of several basic MR parameters, such as T1, T2, T2* and B0, along with popular qualitative contrasts such as MPRAGE and FLAIR, for example. A multi-pathway multi-echo (MPME) pulse sequence was developed that captured vast amounts of information about the imaged object relatively fast, but not necessarily with image contrasts that radiologists might be comfortable reading. A neural network was trained to act as a ‘contrast translator’, to convert information rapidly obtained from MPME scans into useful quantitative and qualitative contrasts, in effect condensing a whole exam into a single 3D scan.
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