Abstract #4159

An estimation method for maximum local SAR with evaluation points selected by iterative SAR calculation under a restricted random condition

Takafumi Ohishi¹ and Koji Akita²

¹Research and Development Center, Canon Medical Systems, Yokohama-shi, Japan, ²Toshiba, Kawasaki, Japan

This paper proposes an estimation method for maximum local SAR in parallel transmission. In order to estimate maximum local SAR with fewer evaluation points, the evaluation points are selected by iterative SAR calculation under a restricted random initial input signal condition. It is shown that, using wider initial phase range of the input signal in selecting the evaluation points than that supposed in MRI scanning, maximum local SAR is estimated within desired tolerance with 10 evaluation points which are about 1/30 of those selected by a conventional method.

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