Rob MacLeod
In this discussion, the forward and inverse problems of electrocardiography have been solved in terms of epicardial and body surface potentials. The method of the forward solution is the boundary element method applied to a realistic homogeneous human torso the result is a forward transfer coefficient matrix ZBH. Direct inversion of ZBH is not possible since the problem is ill-posed and any resulting inverse solution would be unstable. Therefore, we have applied the technique of regularization to compute a constrained inverse transfer coefficient matrix, ZHB, with which epicardial potentials can be safely predicted from body surface potential maps. This section outlines the formulation of the problem and describes the steps involved in the generation of the forward solution matrix.
The starting point of the derivation is Green's second identity for two scalar, piecewise continuous functions, f and g, which states that
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(1) |
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(5) |
It is possible to choose an observation point anywhere within the
Green's volume to satisfy equation 2. The standard approach is
to select the observation point very close to the boundary of, but still
within, the Green's volume. Physically, we can assume that the potential
at such a point is virtually identical to that on the real surface in
question, while mathematically, the points remain inside the volume and the
result -4
can be used for the integral in equation 6.
This approach was taken by both Barr et al. [2] and
Messinger-Rapport and Rudy [3] and from equation 2
yields the following equation:
A second strategy is possible, however, in which the observation point is
located not just inside, but on the surface. It can be shown
[4] that the integral in equation 3 can be
evaluated at a point on the surface with the result -2. This
results in a slightly different form of equation 2 than that given
in equation 7:
Figure 1 depicts the geometry to which we now apply Green's second identity. In this particular case, the Green's volume is the region enclosed by the epicardial and body surfaces, SH and SB, which together comprise S. We proceed from equation 8 by separating the surface which bounds the Green's volume V into the heart surface, SH, and the body surface, SB. The sense of the normal to the heart surface is redirected into the Green's volume so that by rearranging the integrals, we now have
We have introduced dThe general approach to finding solutions to integral equations like equation 9 is to write one equation for each of a number of points on both of the surfaces and solve these equations simultaneously. This is known as the collocation method in numerical mathematics and provides a means of reducing an integration over an arbitrary smooth surface to a sum of (somewhat simpler) integrals, each of which can be evaluated separately [5]. The particular application of the collocation method to this problem originates with work of Barr, Ramsey and Spach [2] and their notation will be used throughout.
We start by rewriting equation 9 for two observation points placed on the body and epicardial surface, respectively, as
and Here we have defined the differential solid angle dFor NB points defined on the body surface and NH points on the epicardium, we can write equations 10 and 11, NB and NH times, respectively (collocation method). Let us write discretized expressions for each of the resulting terms in equations 10 and 11; these expressions will be examined in detail below. From equation 10:
and from equation 11: and
The argument of each of the summations can be separated into the product
of a potential (
or
) or the gradient of a
potential (
) at a specific point j on either one of the
surfaces and a second factor (the p's and g's) based entirely on the
geometry of the torso and the heart.
and
are
the potentials at node j on the body and heart surfaces, respectively;
is the normal component of the potential gradient for point
j on the heart surface (the corresponding quantity is zero on the body
surface). In general the
gPQij term links the value of the
potential gradient (
) at point j on surface P to the
observation point i on surface Q while
pPQij is the geometrical
coefficient which weights the contribution of the potential at node j of
surface Q to the potential at observation point i on surface P. The
first subscript and superscript of each p or g term indicate the
observation point, the second subscript and superscript, the element of the
surface of integration; thus, for example,
pijHB is the coefficient
for the observation point i on the epicardial surface and point j on the
surface of integration, the body surface.
Now by inserting the appropriate right-hand sides of equations 12- 17, we get the discretized equivalent equations to 10 and 11,
and where the summations over j are implicit in each term and i refers to a specific observation point on either the heart (equation 19) or the body (equation 18) surface. The p and g terms are the row vectors which express the geometrical contribution of each point on the surface of integration to the potential at the observation point i. If we write equation 18 for each point on the body surface and equation 19 for each point on the heart surface, two sets of equations result, which in matrix notation can be written as: and The P's and G's are the matrices formed by collocating all the elements of the associated pi and gi row vectors, one row for each observation point. For the PHB matrix, for example, each row contains NH elements from one pHBi vector, and there are NH rows, each representing a different value of i. Here again, the first subscript represents the surface containing the observation points, the second subscript the surface of integration. PHH and GHH are square matrices of size NH x NH, PBH and GBH are sized NB x NH, PBB is another square matrix of size NB x NB, and PHBis sized NH x NB.
By solving the equation 21 for
and substituting
the result into equation 20 we remove the need for explicit
knowledge of the potential gradients. This leads, after sorting of
variables, to
Equations 23 and 24 define the solution to the forward problem in the desired form; ZBH is the transfer coefficient matrix which directly relates epicardial potentials to body surface potentials. It remains to examine each term of equation 22 and develop accurate computational methods for evaluating the elements of all the matrices involved. Once this has been achieved, we may convert epicardial potentials into body surface potentials and, thus, solve the forward problem.
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