Abstract #3510

Use of the ultimate signal-to-noise ratio to assess the impact of coil coverage for brain imaging

Bastien Guerin¹, Jorge F. Villena², Athanasios G. Polimeridis³, Elfar Adalsteinsson^4,5,6, Luca Daniel⁴, Jacob K. White⁴, and Lawrence L. Wald^1,5

¹A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, ²Cadence Design Systems, Feldkirchen, Germany, ³Skolkovo Institute of Science and Technology, Moscow, Russian Federation, ⁴Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, ⁵Harvard-MIT Division of Health Sciences Technology, Cambridge, MA, United States, ⁶Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States

We assess the impact of coil coverage for brain imaging at 3 T and 7 T using the ultimate SNR (uSNR). We simulate three coil configurations that cover (i) the whole head (ultimate), (ii) the whole head but the neck (realistic ultimate) and (iii) the head except the neck and face (helmet geometry). We compute the maximum SNR (unaccelerated and accelerated) achievable by any coils with these head coverage using random excitations of a dense dipole cloud placed around the head. Not covering the face (eye/nose/mouth) and neck has little impact on unaccelerated and accelerated SNR compared to the ultimate.

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