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. 2018 Apr 22;34(7):e2982. doi: 10.1002/cnm.2982

Table 1.

Timings for evaluation (eval) of the forward model and the gradient, running on 1 computing node with 8 cores for the different subjects with different mesh resolutions

Patient ID Elements Forward eval time, s Forward eval Gradient eval time, s Gradient eval Total run time, h
CASE1 7362 32 ± 19.8 9 ± 1.6 9 ± 0.1 8 ± 1.5 1.97
58 896 668 ± 529.8 9 ± 1.7 81 ± 1.3 7 ± 1.6 36.1
CASE2 4755 19 ± 9.6 9 ± 2.1 8 ± 0.1 8 ± 2.0 1.88
38 040 387 ± 325.8 9 ± 2.5 47 ± 0.4 8 ± 2.2 32.6
CASE3 4377 17 ± 5.3 10 ± 2.1 8 ± 0.9 8 ± 2.1 1.35
35 016 259 ± 146.3 9 ± 2.4 42 ± 0.7 8 ± 2.2 15.6

The average number of forward and gradient evaluations for each measurement points are also shown along with the standard deviations.