Biomedical Engineering Reference
In-Depth Information
(a)
(b)
Fig. 3.39. a
The initial distribution of current
elements in the algorithm: 28 current elements
were distributed at random as a starting situa-
tion for the inverse problem.
b
The distribu-
tion of the current elements after 2400 itera-
tions. They seem to going to converge to the
pattern of magnetic source.
c
The distribution
of the current elements after 3600 iterations.
They have converged to the pattern of a ma-
gnetic source, which is a solution to this inverse
problem
(c)
There might be many pairs when the number of elements is large. The
appearance of the pair of elements is a sign that the iteration of the algorithm
should be terminated. This algorithm is quite heuristic. The algorithm was
applied to an inverse problem for a circular current signal source. We could
not gain a perspective on the possibility of applying the algorithm to a general
inverse problem. However, we would like to insist that this element approach
could figure out the three-dimensional pattern of an electric current that is
hidden in a volume without any strict parametric model such as CME. If we
introduce a strategy such as CME, we have to measure more and more data
as the number of unknown parameters increases.
