Exact(10)
Simulation results show that our proposed 2D-MMDGD performs much better than GRMM, SIR, and SCSM + SIR methods.
In, summary, SIR methods are sufficiently accurate for many cases in clinical practice and, what is more, they are also reproducible, standardised and already widely available.
Now, we compare the detection performance of the proposed method with GRMM, SIR, and SCSM + SIR methods using receiver operating characteristic (ROC) curve.
SIR methods, on the other hand, are very specific for all levels of iron overload and, what is more, they are also reproducible, standardised and already widely available.
The simulation results show that our proposed 2D-MMDGD, even in case 4 scenario outperform GRMM, SIR, and SCSM + SIR methods while having much lower computations.
T2 relaxometry methods are more accurate than signal intensity ratio (SIR) methods and they are reproducible but are not yet standardised or widely available.
Similar(50)
The estimation of LIC by an SIR method is easier to perform than T2 relaxometry.
Therefore, the computational complexity of our proposed 2D-MMDGD is much less than the SCSM + SIR method.
The proposed SIR method for progressive distributed video coding was implemented and its performances evaluated using the Discover DVC codec as a benchmark reference.
The reason is that in the SIR method, only the signal-to-interference ratio is maximized and the increase of sparse recovery performance is not considered.
The complexity of SCSM + SIR method that uses CVX package to optimize measurement matrix is ( O({overset{sim }{N}}^3) ), where ( overset{sim }{N}={overset{sim }{L}}^2 ) [35].
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