Meeting Banner
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.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here