Abstract #2788

Sample-Specific Passive Shimming Using Optimization Algorithm

Sejung Yang¹, Hahnsung Kim², Sang-Young Zho², Byung-Uk Lee¹, Dong-Hyun Kim^2,3

¹Electronics Engineering, Ewha W. University, Seoul, Korea; ²School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea; ³Radiology, Yonsei University, Seoul, Korea

Shimming using passive shims can enhance the homogeneity. The position of the passive shims have been typically placed at fixed regions or manually adjusted. Further improvements are possible if the positions can be optimized for individual subjects. We present a sample-specific passive shimming method. A shim structure capable of adjusting the position of the passive shims is built and optimal shim positions are computed using an optimization algorithm. Compared to previous in-vivo passive shim approaches, the proposed method avoids trial and error when finding the best shim position and can be a robust method for improving B0 homogeneity in vivo.