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Abstract #0004

Multi-pathway multi-echo acquisition and contrast translation to generate a variety of quantitative and qualitative image contrasts

Cheng-Chieh Cheng1,2, Frank Preiswerk1, and Bruno Madore1
1Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, 2Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

Ideally, neuro exams would include a variety of contrast types along with basic MRI parametric maps, with full-brain 3D coverage and good spatial resolution. However, tradeoffs exist between the number of contrasts, spatial coverage, spatial resolution, and scan time. We developed a 3D multi-pathway multi-echo (MPME) sequence that rapidly captures vast amounts of information about the object, and a ‘contrast translator’ to convert this information into desired contrasts. More specifically, a neural network converts 3D full-brain MPME data acquired in about 7 min into MPRAGE, FLAIR, T1W, T2W, T1 and T2 volumes, with the goal of abbreviating neuro exams.

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