 Research
 Open access
 Published:
Pseudo current density maps of electrophysiological heart, nerve or brain function and their physical basis
BioMagnetic Research and Technology volumeÂ 4, ArticleÂ number:Â 5 (2006)
Abstract
Background
In recent years the visualization of biomagnetic measurement data by socalled pseudo current density maps or HosakaCohen (HC) transformations became popular.
Methods
The physical basis of these intuitive maps is clarified by means of analytically solvable problems.
Results
Examples in magnetocardiography, magnetoencephalography and magnetoneurography demonstrate the usefulness of this method.
Conclusion
Hardware realizations of the HCtransformation and some similar transformations are discussed which could advantageously support crossplatform comparability of biomagnetic measurements.
Background
In 1976 Cohen et al. introduced in a sequence of publications a method to construct socalled pseudo current density or arrowmaps from multichannel biomagnetic signals obtained by magnetocardiography (MCG) [1â€“4]. The purpose was to transform the measured magnetic field values in a way that the resulting maps could be more easily related to the underlying current density distribution. Later this method was frequently referred to as the HosakaCohen (HC) transformation and its performance was analyzed in some detail [5, 6]. However, it did not find widespread application until recent years, when a kind of renaissance of this method occurred. Recently, the HCtransformation is used in MCG [7â€“21], fetal MCG [22â€“24], magnetoencephalography (MEG) [25â€“27] and magnetoneurography (MNG) [28].
A reason for this new development may be the advance of computing power and visualization tools. In addition, in former times system designers preferred to display magnetic field maps (MFM), since they were interested in the measured physical quantity. However, for the enduser the physicians MFMs are not very instructive, as the MFM maximum values do not occur above those positions where the generating currents are flowing.
Figs. 1, 2, 3 illustrate this point: it shows two instants of the atrial excitation marked by the cursors in the MCGbutterflyplot in Fig. 1 (a butterflyplot is obtained by superpositioning the MCGSignals of all channels in one display). The respective pseudo current density (PCD) plots show very clearly and intuitively the preceding activation over the right atrium (Fig. 2, right) followed by that over the left atrium (Fig. 3, right), whereas the MFMs in Fig. 2 (left) and in Fig. 3 (left) require expert knowledge to interpret them in the same way.
Other features of modern pseudo current density maps helped to spur interest:

i)
while Hosaka and Cohen coded the information of the pseudo current density amplitude into the size of the arrows the recent display techniques added an underlying falsecolour scaling to the maps.
ii) visually attractive results are achieved, if a sequence of maps is presented as an animated clip. Then the spatiotemporal dynamics of the electrophysiological function are more easily perceptible.
The question that remains open is: what do pseudo current density maps really show? Already the term "pseudo" indicates that the real current density distribution is different and may deviate considerably. This is already evident when considering the fact that the PCDmaps are only 2Dprojections of a 3D reality. The initial papers of Hosaka and Cohen just gave an empirical explanation, why their maps produce an approximate image of the underlying current density distribution. Later explanations e.g. by other authors [7] relating the curl of the measured magnetic induction curl \stackrel{\xe2\u2020\u2019}{B} with the current density \stackrel{\xe2\u2020\u2019}{j} were incorrect and misleading. Therefore in the following chapters an analytically based calculation is presented that illustrates the physical justification and the limitations of this visualization method.
This paper will not deal with minimum norm estimates or other inverse methods calculating the current density from field maps. Rather, the HosakaCohen transformation provides just another representation of the measured magnetic field by a postprocessing of the magnetic field data. The underlying current distribution does not enter in the calculation of the HCtransformation. We intend to clarify in which way certain features of the PCDmaps can nevertheless be related to the underlying current distribution. Some common fallacies in the interpretation of PCD maps are elucidated.
Finally we would like to stress the utility of PCD maps to provide a visualization of measurement results obtained by biomagnetic systems with very different sensor configurations. Whether magnetometers, planar gradiometers or vector magnetometers are used always similar PCD maps may be computed and will thus allow a simple crossplatform, i.e. multicentre comparability of biomagnetic investigations.
Methods
Construction of pseudo current density maps
PCDmaps are obtained from magnetic field values at a number of points in space [29, 30]. Multichannel measurement systems, containing a number of SQUIDs (superconducting quantum interference devices) as magnetic field sensors, are used to measure the magnetic fields generated by electrophysiological functions in the heart (MCG = magnetocardiography), the brain (MEG = magnetoencephalography) or in other muscles or nerves (MNG = magnetoneurography). In MEG, helmet systems are used, where the SQUIDs are arranged on the surface of a sphere. For other applications, the SQUIDs are distributed more or less in a plane.
For the following discussion a simple current dipole source with current dipole moment
\stackrel{\xe2\u2020\u2019}{p}=I\stackrel{\xe2\u2020\u2019}{s}\left(1\right)
may be considered, i.e. a sourcedrain configuration with vanishing sourcedrain distance with unit vector \stackrel{\xe2\u2020\u2019}{s} and a source strength of I. This current element generates a magnetic flux density \stackrel{\xe2\u2020\u2019}{B}(\stackrel{\xe2\u2020\u2019}{r}) which â€“ according to the law of BiotSavart â€“ is expressed as
\stackrel{\xe2\u2020\u2019}{B}(\stackrel{\xe2\u2020\u2019}{r})=\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}}\frac{\stackrel{\xe2\u2020\u2019}{p}\xc3\u2014\stackrel{\xe2\u2020\u2019}{r}}{{r}^{3}}.\left(2\right)
Often, planar SQUIDsystems measure only one component of the \stackrel{\xe2\u2020\u2019}{B}field, e.g.B_{ z }. Fig. 4 shows the B_{ z }distribution calculated with (2) for a measurement plane of size 40 cm Ã— 40 cm which is positioned 10 cm above a current dipole with a dipole moment of 1 Î¼Am. The direction of the dipole within the xyplane is diagonal to the coordinate system and the magnetic flux density distribution is presented as an isocontour plot. The difference between two adjacent contour lines corresponds to a magnetic flux density difference of 0.5 pT. Red lines correspond to positive B_{ z }values and blue lines to negative B_{ z }values and the black line marks B_{ z }= 0. The pseudo current density \stackrel{\xe2\u2020\u2019}{c}(x, y) in the map in Fig. 5 is gained from the B_{ z }values by the following transformation
\stackrel{\xe2\u2020\u2019}{c}=\frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ay}{\stackrel{\xe2\u2020\u2019}{e}}_{x}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ax}{\stackrel{\xe2\u2020\u2019}{e}}_{y}.\left(3\right)
Thus the slopes of the B_{ z }surface function determine the amplitude and the direction of the pseudo current arrows \stackrel{\xe2\u2020\u2019}{c}(x, y). \stackrel{\xe2\u2020\u2019}{e}_{ x }and \stackrel{\xe2\u2020\u2019}{e}_{ y }are the unit vectors in x and ydirection.
In practice the partial differential ratios \frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ax} and \frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ay} are approximated by the difference ratios \frac{\mathrm{\xce\u201d}{B}_{z}}{\mathrm{\xce\u201d}x} and \frac{\mathrm{\xce\u201d}{B}_{z}}{\mathrm{\xce\u201d}y}. They in turn may be easily obtained by utilizing the smooth surface function {{{B}_{z}\left({x}_{i},{y}_{j}\right)}_{i=0,\mathrm{...},n}}_{j=0,\mathrm{...},m} that has been used to construct the map in Fig. 4.
The arrows drawn in Fig. 5 represent the \stackrel{\xe2\u2020\u2019}{c}vectors at the respective coordinates. However, only the strongest \stackrel{\xe2\u2020\u2019}{c}vectors are drawn to obtain a clearer picture. Although the amplitude of \stackrel{\xe2\u2020\u2019}{c} is coded as the arrow length, a map with just those arrows is not as intuitive as the image shown. By underlying a falsecolor map scaled by the amplitude \stackrel{\xe2\u2020\u2019}{c} a considerable visual enhancement of the information is achieved.
As to be anticipated the maximum amplitude occurs just above the source and also the directions of the central strongest arrow\stackrel{\xe2\u2020\u2019}{c} and that of the current dipole \stackrel{\xe2\u2020\u2019}{p} coincide. On the other hand the PCDmap does not reproduce the pointlike character of the current dipole! It is rather a characteristic pointspread function of the source.
Another interesting point to mention: the HosakaCohen transformation utilizes two terms of
\text{curl}\stackrel{\xe2\u2020\u2019}{B}=\left(\frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ay}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{y}}{\xe2\u02c6\u201az}\right){\stackrel{\xe2\u2020\u2019}{e}}_{x}+\left(\frac{\xe2\u02c6\u201a{B}_{x}}{\xe2\u02c6\u201az}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ax}\right){\stackrel{\xe2\u2020\u2019}{e}}_{y}+\left(\frac{\xe2\u02c6\u201a{B}_{y}}{\xe2\u02c6\u201ax}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{x}}{\xe2\u02c6\u201ay}\right){\stackrel{\xe2\u2020\u2019}{e}}_{z}.\left(4\right)
As â€“ according to Maxwell â€“ curl \stackrel{\xe2\u2020\u2019}{B} = Î¼_{0}\stackrel{\xe2\u2020\u2019}{j} some authors concluded that this is the rationale for the pseudocurrent density maps. However, at the sites where \stackrel{\xe2\u2020\u2019}{B} is measured the current density is zero and thus also curl \stackrel{\xe2\u2020\u2019}{B} = 0 holds. Hence no direct relation between \stackrel{\xe2\u2020\u2019}{j} and \stackrel{\xe2\u2020\u2019}{c} and curl \stackrel{\xe2\u2020\u2019}{B} exists at the location of the sensors. But since curl \stackrel{\xe2\u2020\u2019}{B} = 0 everywhere in the measurement space, the two terms that represents \stackrel{\xe2\u2020\u2019}{c} must exactly compensate the remaining terms of curl \stackrel{\xe2\u2020\u2019}{B} (from equation 4). This in turn leads to the conclusion that also the remaining terms lead to equivalent arrow maps, as it is discussed later in this paper.
Results
Pseudo current density maps of analytically solvable models
A single current dipole alone (i.e. without considering return currents) and the application of BiotSavart's law describe a too artificial, nonphysical situation. The physical background of the PCDmaps may be evaluated by:

i)
modeling the MCG by a current dipole in a conductive half space, and
ii) modeling the MNG by an extended linear or curved source [28, 31] or by a train of current dipoles in a conducting half space and
iii) modeling the MEG by a current dipole in a conductive sphere.
Of course also those are quite crude models of the reality but they represent basic models of sound physics and can be treated completely analytical. Thus the relations between source and PCDmap and the role of curl \stackrel{\xe2\u2020\u2019}{B} are exactly traceable.
Current dipole in a conductive half space
To a first approximation the MCG may be modeled by a current dipole \stackrel{\xe2\u2020\u2019}{p} = (p_{ x }, p_{ y }, p_{ z }) at \stackrel{\xe2\u2020\u2019}{r}_{0} = (x_{0}, y_{0}, z_{0}), representing the heart's electrical activity, in a conductive half space, representing the torso. The coordinate system is chosen such that z = 0 at the boundary between the "torso" with constant conductivity and the nonconducting space containing the measurement sites.
The magnetic flux density at coordinate \stackrel{\xe2\u2020\u2019}{r} = (x, y, z) above the half space (z > 0) is according to [32] given by
\stackrel{\xe2\u2020\u2019}{B}(\stackrel{\xe2\u2020\u2019}{r})=\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}{K}^{2}}\left\{\left[\left(\stackrel{\xe2\u2020\u2019}{p}\xc3\u2014\stackrel{\xe2\u2020\u2019}{R}\right){\stackrel{\xe2\u2020\u2019}{e}}_{z}\right]\xe2\u02c6\u2021K\xe2\u02c6\u2019K{\stackrel{\xe2\u2020\u2019}{e}}_{z}\xc3\u2014\stackrel{\xe2\u2020\u2019}{p}\right\}\left(5\right)
with \stackrel{\xe2\u2020\u2019}{R} = \stackrel{\xe2\u2020\u2019}{r}  \stackrel{\xe2\u2020\u2019}{r}_{0}, R = \stackrel{\xe2\u2020\u2019}{R}, K = R (R + \stackrel{\xe2\u2020\u2019}{R}\stackrel{\xe2\u2020\u2019}{e}_{ z }), and \xe2\u02c6\u2021K=(2+\frac{\stackrel{\xe2\u2020\u2019}{R}{\stackrel{\xe2\u2020\u2019}{e}}_{z}}{R})\stackrel{\xe2\u2020\u2019}{R}+R{\stackrel{\xe2\u2020\u2019}{e}}_{z}, where âˆ‡ is the nabla operator. In Cartesian coordinates \stackrel{\xe2\u2020\u2019}{B} can be explicitly written as
\begin{array}{c}{B}_{x}\left(\stackrel{\xe2\u2020\u2019}{r}\right)=\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}}{p}_{x}\frac{XY}{{X}^{2}+{Y}^{2}}\left[\frac{2}{{X}^{2}+{Y}^{2}}\left(1\xe2\u02c6\u2019\frac{Z}{R}\right)\xe2\u02c6\u2019\frac{Z}{{R}^{3}}\right]\\ +\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}}{p}_{y}\frac{1}{{X}^{2}+{Y}^{2}}\left[\frac{{Y}^{2}\xe2\u02c6\u2019{X}^{2}}{{X}^{2}+{Y}^{2}}\left(1\xe2\u02c6\u2019\frac{Z}{R}\right)+\frac{{X}^{2}Z}{{R}^{3}}\right],\end{array}\left(6\right)
\begin{array}{c}{B}_{y}\left(\stackrel{\xe2\u2020\u2019}{r}\right)=\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}}{p}_{x}\frac{1}{{X}^{2}+{Y}^{2}}\left[\frac{{Y}^{2}\xe2\u02c6\u2019{X}^{2}}{{X}^{2}+{Y}^{2}}\left(1\xe2\u02c6\u2019\frac{Z}{R}\right)\xe2\u02c6\u2019\frac{{Y}^{2}Z}{{R}^{3}}\right]\\ \xe2\u02c6\u2019\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}}{p}_{y}\frac{XY}{{X}^{2}+{Y}^{2}}\left[\frac{2}{{X}^{2}+{Y}^{2}}\left(1\xe2\u02c6\u2019\frac{Z}{R}\right)\xe2\u02c6\u2019\frac{Z}{{R}^{3}}\right],\end{array}\left(7\right)
{B}_{z}\left(\stackrel{\xe2\u2020\u2019}{r}\right)=\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}}\frac{Y{p}_{x}\xe2\u02c6\u2019X{p}_{y}}{{R}^{3}}\left(8\right)
with X = (x  x_{0}), Y = (y  y_{0}) and Z = (z  z_{0}).
An inspection of (6)â€“(8) shows that
â€¢ p_{ z }does not contribute to \stackrel{\xe2\u2020\u2019}{B}(\stackrel{\xe2\u2020\u2019}{r}) above z > 0,
â€¢ B_{ x }(\stackrel{\xe2\u2020\u2019}{r}), B_{ y }(\stackrel{\xe2\u2020\u2019}{r}), and B_{ z }(\stackrel{\xe2\u2020\u2019}{r}) do not depend on the position of the torso boundary as long as it is between measurement point and current dipole,
â€¢ the difference to the \stackrel{\xe2\u2020\u2019}{B} â€“ field calculated by BiotSavart's law for an isolated current dipole occurs only in (6) and (7),
â€¢
(\stackrel{\xe2\u2020\u2019}{r}) is independent of the value of the constant conductivity in the half space.
Note that the above field properties are also valid for a horizontally layered conductor, i.e. for a conductivity Ïƒ = Ïƒ (z).
Now the HosakaCohen transformation (3) is applied to (8) and yields
\stackrel{\xe2\u2020\u2019}{c}=\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}}\left[\frac{{p}_{x}{\stackrel{\xe2\u2020\u2019}{e}}_{x}+{p}_{y}{\stackrel{\xe2\u2020\u2019}{e}}_{y}}{{R}^{3}}\xe2\u02c6\u2019\frac{3\left\{\left[{p}_{x}{Y}^{2}\xe2\u02c6\u2019{p}_{y}XY\right]{\stackrel{\xe2\u2020\u2019}{e}}_{x}+\left[{p}_{y}{X}^{2}\xe2\u02c6\u2019{p}_{x}XY\right]{\stackrel{\xe2\u2020\u2019}{e}}_{y}\right\}}{{R}^{5}}\right].\left(9\right)
Particularly for X = 0, Y = 0, i.e. directly above the current dipole, one obtains
\stackrel{\xe2\u2020\u2019}{c}=\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}}\frac{{p}_{x}{\stackrel{\xe2\u2020\u2019}{e}}_{x}+{p}_{y}{\stackrel{\xe2\u2020\u2019}{e}}_{y}}{{Z}^{3}}.\left(10\right)
In this case \stackrel{\xe2\u2020\u2019}{c} is directly proportional to the xyprojection of the current dipole moment \stackrel{\xe2\u2020\u2019}{p}.
This supports the argument that the HosakaCohen transformation is really related to the underlying current source. However, it is also evident from (9) that additional terms are blurring and distorting the image.
On first sight the distribution of arrows might suggest that this is an image not only of the current dipole but also of the return currents (also termed: volume currents). And indeed, the model "dipole current in a conductive half space" considers the role of the return currents. However, in this special geometry, the volume currents do not contribute to B_{ z }(\stackrel{\xe2\u2020\u2019}{r})as can be seen above. It becomes also evident, that the spatial distribution of \stackrel{\xe2\u2020\u2019}{c} away from X = 0, Y = 0 does not represent the return currents if Z is varied. Without loss in validity of equations (6)â€“(8) one may consider that \stackrel{\xe2\u2020\u2019}{p} is very close to the half space interface z = 0 and the measurement of B_{ z }(x, y) is performed at different distances approaching \stackrel{\xe2\u2020\u2019}{p}. In this theoretical case, the image approximates in the limit (z  z_{0}) = 0 a pointlike distribution with vanishing \stackrel{\xe2\u2020\u2019}{c}(x, y) apart from the origin X = 0, Y = 0. However, the volume currents keep their amplitude independently from z as only the measurement device is moved and not the current dipole source. Thus the nature of the \stackrel{\xe2\u2020\u2019}{c} â€“ image is a point spread function of nonradial symmetry.
A closer look to just one component (e.g. the xcomponent) of \stackrel{\xe2\u2020\u2019}{c} reveals that it is composed of two terms
{c}_{x}=\frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ay}=\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}}\left[\frac{{p}_{x}}{{R}^{3}}\xe2\u02c6\u2019\frac{3Y\left[Y{p}_{x}\xe2\u02c6\u2019X{p}_{y}\right]}{{R}^{5}}\right].\text{(11)}
The spatial distribution of both terms is shown in Fig. 6 as a solid line. While the first term â€“ shown as a dotted line â€“ is radially symmetric the second term is not. Along the symmetry axis parallel to the direction of the dipole this latter term is vanishing, see the dotted line in Fig. 6. Unfortunately the second term is of the same order of magnitude as the first term. Thus c_{ x }is not directly proportional to p_{ x }as the second term contains mixed terms. However, it contributes a kind of focussing effect.
Current dipole in a conductive sphere
For a current dipole \stackrel{\xe2\u2020\u2019}{p} at \stackrel{\xe2\u2020\u2019}{r}_{0} in a conductive sphere similar relations can be obtained in terms of spherical coordinates r, Ï‘, Ï†. The magnetic flux density outside the sphere is given by [32]
\stackrel{\xe2\u2020\u2019}{B}(\stackrel{\xe2\u2020\u2019}{r})=\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}{F}^{2}}\left\{F(\stackrel{\xe2\u2020\u2019}{p}\xc3\u2014{\stackrel{\xe2\u2020\u2019}{r}}_{0})\xe2\u02c6\u2019\left[(\stackrel{\xe2\u2020\u2019}{p}\xc3\u2014{\stackrel{\xe2\u2020\u2019}{r}}_{0})\xe2\u2039\dots \stackrel{\xe2\u2020\u2019}{r}\right]\xe2\u02c6\u2021F\right\}\left(12\right)
with F = R(r R + \stackrel{\xe2\u2020\u2019}{r}\stackrel{\xe2\u2020\u2019}{R}), \stackrel{\xe2\u2020\u2019}{R} = \stackrel{\xe2\u2020\u2019}{r}  \stackrel{\xe2\u2020\u2019}{r}_{0}, R = \stackrel{\xe2\u2020\u2019}{R}, r = \stackrel{\xe2\u2020\u2019}{r}, and
âˆ‡F = [r^{1} R^{2} + R^{1} (\stackrel{\xe2\u2020\u2019}{r}\stackrel{\xe2\u2020\u2019}{R}) + 2R +2r]\stackrel{\xe2\u2020\u2019}{r}  [R + 2r + R^{1} (\stackrel{\xe2\u2020\u2019}{r}\stackrel{\xe2\u2020\u2019}{R})]\stackrel{\xe2\u2020\u2019}{r}_{0}.
This expression is valid for a conductivity profile Ïƒ = Ïƒ (r).
For the case of the dipole being positioned on the zaxis at \stackrel{\xe2\u2020\u2019}{r}_{0} = (0, 0, z_{0}) the radial component of \stackrel{\xe2\u2020\u2019}{B}(\stackrel{\xe2\u2020\u2019}{r}) becomes
{B}_{r}=\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}}\frac{{z}_{0}\mathrm{sin}\mathrm{\xcf\u2018}({p}_{x}\mathrm{sin}\mathrm{\xcf\u2022}\xe2\u02c6\u2019{p}_{y}\mathrm{cos}\mathrm{\xcf\u2022})}{{R}^{3}}\left(13\right)
with R = (r^{2}  2 z_{0} r cosÏ‘ + {z}_{0}^{2})^{1/2}.
Then for the pseudo current density the following relation
\stackrel{\xe2\u2020\u2019}{c}=\frac{1}{r\mathrm{sin}\mathrm{\xcf\u2018}}\frac{\xe2\u02c6\u201a{B}_{r}}{\xe2\u02c6\u201a\mathrm{\xcf\u2022}}{\stackrel{\xe2\u2020\u2019}{e}}_{\mathrm{\xcf\u2018}}\xe2\u02c6\u2019\frac{1}{r}\frac{\xe2\u02c6\u201a{B}_{r}}{\xe2\u02c6\u201a\mathrm{\xcf\u2018}}{\stackrel{\xe2\u2020\u2019}{e}}_{\mathrm{\xcf\u2022}}\left(14\right)
gained from curl \stackrel{\xe2\u2020\u2019}{B} in spherical coordinates may be applied to (13) leading to
\stackrel{\xe2\u2020\u2019}{c}=\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}}\frac{{z}_{0}}{r{R}^{3}}\left[\left({p}_{x}\mathrm{cos}\mathrm{\xcf\u2022}+{p}_{y}\mathrm{sin}\mathrm{\xcf\u2022}\right){\stackrel{\xe2\u2020\u2019}{e}}_{\mathrm{\xcf\u2018}}\xe2\u02c6\u2019\left({p}_{x}\mathrm{sin}\mathrm{\xcf\u2022}\xe2\u02c6\u2019{p}_{y}\mathrm{cos}\mathrm{\xcf\u2022}\right)\left(\mathrm{cos}\mathrm{\xcf\u2018}\xe2\u02c6\u2019\frac{3{z}_{0}r{\mathrm{sin}}^{2}\mathrm{\xcf\u2018}}{{R}^{2}}\right){\stackrel{\xe2\u2020\u2019}{e}}_{\mathrm{\xcf\u2022}}\right]\left(15\right)
Particularly for Ï‘ = 0, i. e. directly above the current dipole, one obtains
\stackrel{\xe2\u2020\u2019}{c}=\frac{{\mathrm{\xce\xbc}}_{0}}{4\mathrm{\xcf\u20ac}}\frac{{z}_{0}}{z{(z\xe2\u02c6\u2019{z}_{0})}^{3}}\left({p}_{x}{\stackrel{\xe2\u2020\u2019}{e}}_{x}+{p}_{y}{\stackrel{\xe2\u2020\u2019}{e}}_{y}\right).\left(16\right)
Thus the discussion of the results follows the same lines as in the preceding chapter.
Pseudo current density maps for MNG and MEG recordings
In Fig. 7 isocontour and PCDmaps of an MNG recording using 49 channels of a planar SQUID system are shown. The centre of the system was placed over the lumbar spine with a distance of approximately 8 cm between the magnetic sensors and leg nerves coming from the left leg entering the spine. The nerve response to electrical stimulation at the ankle with amplitude of about 10 mA and duration of 100 Î¼s was recorded. 9.000 responses were averaged to improve the pure signaltonoise ratio. In Fig. 7, top, an isocontour map of the B_{ z }field component 15 ms after the stimulus and in Fig. 7, bottom, the corresponding PCDmap are shown. Inspecting the isocontour map from Fig. 7 only a raw understanding of an underlying current and its direction corresponding to the zero line of the map is possible for an expert. The PCDmap allows a more intuitive conclusion that the underlying nerve current is extremely extended and slightly curved.
Fig. 8 displays maps of an acoustically evoked MEG recorded in a helmet system with 93 channels. The spherical maps are unfolded, the nose is situated at the top, and ears are at the right and left side, respectively. The measurement recorded the brain response to acoustic stimulation with a 1 kHz sinusoidal tone. 30 stimuli were averaged. In Fig. 8, top, an isocontour map of the radial field component at the occurrence of the maximum of the response (about 100 ms after stimulus; termed "N100") is shown and in Fig. 8, bottom, the corresponding PCDmap. Using the isocontour map from Fig. 8 the number of sources and their configuration cannot be concluded. On the other hand from inspecting the PCDmap one can conclude that two separate focal sources are active, one in each hemisphere in the corresponding acoustic cortex.
Discussion
Alternative pseudo current density maps and corresponding hardware realizations
The HosakaCohen transformation is nothing else but a combination of partial derivatives of components of \stackrel{\xe2\u2020\u2019}{B}(\stackrel{\xe2\u2020\u2019}{r}). Planar gradiometers are hardware realizations that provide an approximation of the partial derivative of \stackrel{\xe2\u2020\u2019}{B}(\stackrel{\xe2\u2020\u2019}{r}). Thus, the SQUIDchip introduced by [33], which is a combination of x and ygradiometers, provides if wired accordingly just the approximation of \stackrel{\xe2\u2020\u2019}{c}(x, y) (cf. Fig. 9). Consequently, the software of the first SQUIDsystems of that design contained a program called "arrow mapper".
As mentioned before an interrelation between \stackrel{\xe2\u2020\u2019}{c} and curl \stackrel{\xe2\u2020\u2019}{B} exists. Equation (4) may be rewritten as
\text{curl}\stackrel{\xe2\u2020\u2019}{B}=\left(\frac{\xe2\u02c6\u201a{B}_{x}}{\xe2\u02c6\u201az}{\stackrel{\xe2\u2020\u2019}{e}}_{y}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{x}}{\xe2\u02c6\u201ay}{\stackrel{\xe2\u2020\u2019}{e}}_{z}\right)+\left(\frac{\xe2\u02c6\u201a{B}_{y}}{\xe2\u02c6\u201ax}{\stackrel{\xe2\u2020\u2019}{e}}_{z}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{y}}{\xe2\u02c6\u201az}{\stackrel{\xe2\u2020\u2019}{e}}_{x}\right)+\left(\frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ay}{\stackrel{\xe2\u2020\u2019}{e}}_{x}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ax}{\stackrel{\xe2\u2020\u2019}{e}}_{y}\right).\left(17\right)
For this case curl \stackrel{\xe2\u2020\u2019}{B} can be written as a sum of three vectors \stackrel{\xe2\u2020\u2019}{a}, \stackrel{\xe2\u2020\u2019}{b}, and \stackrel{\xe2\u2020\u2019}{c} where \stackrel{\xe2\u2020\u2019}{c} is identical to (3), i.e.
curl \stackrel{\xe2\u2020\u2019}{B} = \stackrel{\xe2\u2020\u2019}{a} + \stackrel{\xe2\u2020\u2019}{b} + \stackrel{\xe2\u2020\u2019}{c} (18)
with
.
Outside the body \stackrel{\xe2\u2020\u2019}{a} + \stackrel{\xe2\u2020\u2019}{b} + \stackrel{\xe2\u2020\u2019}{c} = 0 due to curl \stackrel{\xe2\u2020\u2019}{B} = 0. Therefore \stackrel{\xe2\u2020\u2019}{a} + \stackrel{\xe2\u2020\u2019}{b} just cancel \stackrel{\xe2\u2020\u2019}{c} and â€“ (\stackrel{\xe2\u2020\u2019}{a} + \stackrel{\xe2\u2020\u2019}{b}) will provide the same pseudo current density map as well!
In addition, if curl \stackrel{\xe2\u2020\u2019}{B} = 0 then
\frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ay}=\frac{\xe2\u02c6\u201a{B}_{y}}{\xe2\u02c6\u201az};\frac{\xe2\u02c6\u201a{B}_{x}}{\xe2\u02c6\u201az}=\frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ax};\frac{\xe2\u02c6\u201a{B}_{y}}{\xe2\u02c6\u201ax}=\frac{\xe2\u02c6\u201a{B}_{x}}{\xe2\u02c6\u201ay}\left(19\right)
and only 2 components B_{ x }, B_{ y }, or B_{ x }, B_{ z }, or B_{ y }, B_{ z }are necessary to construct \stackrel{\xe2\u2020\u2019}{a}, \stackrel{\xe2\u2020\u2019}{b}, and \stackrel{\xe2\u2020\u2019}{c}.
For example, by exploiting relations (19) the three vectors constructed with B_{ x }, B_{ y }yield
\stackrel{\xe2\u2020\u2019}{a}=\frac{\xe2\u02c6\u201a{B}_{x}}{\xe2\u02c6\u201az}{\stackrel{\xe2\u2020\u2019}{e}}_{y}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{x}}{\xe2\u02c6\u201ay}{\stackrel{\xe2\u2020\u2019}{e}}_{z}=\frac{\xe2\u02c6\u201a{B}_{x}}{\xe2\u02c6\u201az}{\stackrel{\xe2\u2020\u2019}{e}}_{y}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{y}}{\xe2\u02c6\u201ax}{\stackrel{\xe2\u2020\u2019}{e}}_{z},\left(20\right)
\stackrel{\xe2\u2020\u2019}{b}=\frac{\xe2\u02c6\u201a{B}_{y}}{\xe2\u02c6\u201ax}{\stackrel{\xe2\u2020\u2019}{e}}_{z}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{y}}{\xe2\u02c6\u201az}{\stackrel{\xe2\u2020\u2019}{e}}_{x}=\frac{\xe2\u02c6\u201a{B}_{x}}{\xe2\u02c6\u201ay}{\stackrel{\xe2\u2020\u2019}{e}}_{z}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{y}}{\xe2\u02c6\u201az}{\stackrel{\xe2\u2020\u2019}{e}}_{x},\left(21\right)
\stackrel{\xe2\u2020\u2019}{c}=\frac{\xe2\u02c6\u201a{B}_{y}}{\xe2\u02c6\u201az}{\stackrel{\xe2\u2020\u2019}{e}}_{x}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{x}}{\xe2\u02c6\u201az}{\stackrel{\xe2\u2020\u2019}{e}}_{y}.\left(22\right)
The last relation for \stackrel{\xe2\u2020\u2019}{c} may be easily realized by another SQUIDsystem hardware consisting of vertically oriented planar gradiometers [34]. This system approximates the partial derivative of B_{ y }and B_{ x }with respect to z. Thus also with that system a direct acquisition of the pseudo current density map is possible (cf. Fig. 10).
Finally, the newer vectormagnetometer systems [35, 36] also allow an appropriate combination of partial derivatives leading to
\stackrel{\xe2\u2020\u2019}{c}=\frac{1}{2}\left(\frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ay}{\stackrel{\xe2\u2020\u2019}{e}}_{x}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{z}}{\xe2\u02c6\u201ax}{\stackrel{\xe2\u2020\u2019}{e}}_{y}+\frac{\xe2\u02c6\u201a{B}_{y}}{\xe2\u02c6\u201az}{\stackrel{\xe2\u2020\u2019}{e}}_{x}\xe2\u02c6\u2019\frac{\xe2\u02c6\u201a{B}_{x}}{\xe2\u02c6\u201az}{\stackrel{\xe2\u2020\u2019}{e}}_{y}\right).\left(23\right)
Again, the same pseudo current density map occurs, but the signal to noise ratio will be enhanced, as all three vector components of \stackrel{\xe2\u2020\u2019}{B}(\stackrel{\xe2\u2020\u2019}{r}) are utilized.
Visualizing dynamics by creating a sequence of pseudo current density maps for MCG data
The perception of dynamic phenomena is considerably enhanced by viewing movies.
A sequence of frames might give an impression of what can be expressed by a movie clip. Figs. 12 displays such a sequence of frames showing the evolution of PCDmaps gained from the multichannel MCG during a heart beat of a healthy volunteer. Due to the higher dynamics during the QRScomplex the frame rate is higher there than during the STphase. The start of the activation sequence in the septum, the downwards propagation to the apex, and the following depolarization (Figs. 11 and 12) are visible as it is expected from textbook knowledge. The corresponding movie is attached as an additional data file (see Additional file 1).
It is obvious that a PCDmap at the end of the Twave may serve more consistently for evaluating dispersion of repolarization (Fig. 14) than a B_{ z }map with its zeroisofieldline.
Another interesting aspect is the difference in spatial field configuration between end of the Twave and the Uwave. The real nature of the Uwave is still under debate. But any hypothesis should consider the fact shown here (and confirmed in many other cases) that the spatial origin of the excitation that generates the ECG or MCG at the end of the Twave differs markedly from that of the Uwave (Figs. 13 and 14).
Conclusion
In this work we presented examples of electrophysiological measurements where the use of PCDmaps is meaningful. PCDmaps allow in these selected cases an estimate of the underlying currents and also of the temporal behavior of the current propagation. On the other hand, the PCDmaps are only a 2Dpresentation of a 3Dcurrent distribution and may deviate considerable from the real current distribution.
We described the analytical basis of PCDmaps and showed that there exist alternative PCDmap presentations if other field components then B_{ z }are also taken into account. Additionally we extended the PCDmap method to spherical coordinates as used in MEG.
PCDmaps are very interesting nowadays due to hardware realizations by special designed coil configurations or vector magnetometers. Vector magnetometry allows the recording of all magnetic field components and thus the direct realization of all proposed PCDmap cases.
The advantages of pseudo current density maps besides their intuitive character ("maximum signal is where the action is") are their model and hardwareindependence. While sophisticated inverse methods and filter techniques (e.g. the synthetic aperture beamformer [37]) may lead to more exact results with respect to the real current density distribution, they are hard to validate and require advanced data processing. In multicentric clinical studies, where comparability of measurement results between different groups is a key issue, PCDmaps might serve as a basis to exchange results. PCDmaps from such different SQUIDsystems as those with planar horizontal, planar vertical magnetometers or gradiometers, or vectormagnetometers differ only slightly and are still traceable back to the original measurement results (up to an additive constant).
References
Cohen D, Lepeschkin E, Hosaka H, Massell B, Myers G: Part I â€” Abnormal Patterns and Physiological Variations in Magnetocardiograms. J Electrocardiol. 1976, 9: 398409. 10.1016/S00220736(76)800404.
Cohen D, Hosaka H: Part II â€” Magnetic Field Produced by a Current Dipole. J Electrocardiol. 1976, 9: 409417. 10.1016/S00220736(76)800416.
Hosaka H, Cohen D, Cuffin BN, Horacek BM: Part III â€” The Effect of the Torso Boundaries on the Magnetocardiogram. J Electrocardiol. 1976, 9: 418425. 10.1016/S00220736(76)800428.
Hosaka H, Cohen D: Part IV â€” Visual Determination of Generators of the Magnetocardiogram. J Electrocardiol. 1976, 9: 426432. 10.1016/S00220736(76)80043X.
Wikswo JP: The Magnetic Inverse Problem for NDE. SQUID Sensors: Fundamentals, Fabrication and Applications. Edited by: Weinstock H. 1996, Dordrecht: Kluwer Academic Publishers, 629695.
Tan S: Linear System Imaging and its Applications to Magnetic Measurements by SQUID Magnetometers. PhD dissertation. 1992, Department of Physics and Astronomy, Vanderbilt University
Miyashita T, Kandori A, Tsukada K, Sato M, Terada Y, Horigome H, Mitsui T: Construction of Tangential Vectors from Normal Cardiac Magnetic Field Components. Proc 20th Ann Int Conf IEEE/EMBS Oct. 29Nov.1, Hong Kong. 1998, 520523.
Hailer B, Chaikovsky I, AuthEisernitz S, SchÃ¤fer H, Steinberg F, GrÃ¶nemeyer DHW: Magnetocardiography in Coronary Artery Disease with a New System in an Unshielded Setting. Clin Cardiol. 2003, 26: 465471.
Nenonen J, Montonen J, Koskinen R: Surface Gradient Analysis of Atrial Activation from Magnetocardiographic Maps. Int J Bioelectromagnetism. 2003, 5: 9899.
Hailer B, Van Leeuwen P, Chaikovsky I, AuthEisernitz S, SchÃ¤fer H, GrÃ¶nemeyer D: The value of magnetocardiography in the course of coronary intervention. Ann Noninvasive Electrocardiol. 2005, 10 (2): 18896. 10.1111/j.1542474X.2005.05625.x.
Hailer B, Chaikovsky I, AuthEisernitz S, Schafer H, Van Leeuwen P: The value of magnetocardiography in patients with and without relevant stenoses of the coronary arteries using an unshielded system. Pacing Clin Electrophysiol. 2005, 28 (1): 816. 10.1111/j.15408159.2005.09318.x.
Koch H: Recent advances in magnetocardiography. J Electrocardiol. 2004, 37 (Suppl): 11722. 10.1016/j.jelectrocard.2004.08.035.
Kandori A, Shimizu W, Yokokawa M, Kamakura S, Miyatake K, Murakami M, Miyashita T, Ogata K, Tsukada K: Reconstruction of action potential of repolarization in patients with congenital longQT syndrome. Phys Med Biol. 2004, 49 (10): 210315. 10.1088/00319155/49/10/019.
Kandori A, Shimizu W, Yokokawa M, Noda T, Kamakura S, Miyatake K, Murakami M, Miyashita T, Ogata K, Tsukada K: Identifying patterns of spatial current dispersion that characterise and separate the Brugada syndrome and complete rightbundle branch block. Med Biol Eng Comput. 2004, 42 (2): 23644. 10.1007/BF02344637.
Kandori A, Shimizu W, Yokokawa M, Maruo T, Kanzaki H, Nakatani S, Kamakura S, Miyatake K, Murakami M, Miyashita T, Ogata K, Tsukada K: Detection of spatial repolarization abnormalities in patients with LQT1 and LQT2 forms of congenital longQT syndrome. Physiol Meas. 2002, 23 (4): 60314. 10.1088/09673334/23/4/301.
Sato M, Terada Y, Mitsui T, Miyashita T, Kandori A, Tsukada K: Visualization of atrial excitation by magnetocardiogram. Int J Cardiovasc Imaging. 2002, 18 (4): 30512. 10.1023/A:1015597910933.
Kandori A, Kanzaki H, Miyatake K, Hashimoto S, Itoh S, Tanaka N, Miyashita T, Tsukada K: A method for detecting myocardial abnormality by using a currentratio map calculated from an exerciseinduced magnetocardiogram. Med Biol Eng Comput. 2001, 39 (1): 2934. 10.1007/BF02345263.
Tsukada K, Miyashita T, Kandori A, Mitsui T, Terada Y, Sato M, Shiono J, Horigome H, Yamada S, Yamaguchi I: An isointegral mapping technique using magnetocardiogram, and its possible use for diagnosis of ischemic heart disease. Int J Card Imaging. 2000, 16 (1): 5566. 10.1023/A:1006376326755.
Kandori A, Kanzaki H, Miyatake K, Hashimoto S, Itoh S, Tanaka N, Miyashita T, Tsukada K: A method for detecting myocardial abnormality by using a total currentvector calculated from STsegment deviation of a magnetocardiogram signal. Med Biol Eng Comput. 2001, 39 (1): 218. 10.1007/BF02345262.
Weber Dos Santos R, Kosch O, Steinhoff U, Bauer S, Trahms L, Koch H: MCG to ECG source differences: measurements and a twodimensional computer model study. J Electrocardiol. 2004, 37 (Suppl): 1237. 10.1016/j.jelectrocard.2004.08.036.
Kandori A, Miyashita T, Tsukada K, Hosono T, Miyashita S, Chiba Y, Horigome H, Shigemitsu S, Asaka M: Prenatal diagnosis of QT prolongation by fetal magnetocardiogram â€“ use of QRS and Twave currentarrow maps. Physiol Meas. 2001, 22 (2): 37787. 10.1088/09673334/22/2/309.
Kandori A, Hosono T, Kanagawa T, Miyashita S, Chiba Y, Murakami M, Miyashita T, Tsukada K: Detection of atrialflutter and atrialfibrillation waveforms by fetal magnetocardiogram. Med Biol Eng Comput. 2002, 40 (2): 2137. 10.1007/BF02348127.
Hosono T, Shinto M, Chiba Y, Kandori A, Tsukada K: Prenatal diagnosis of fetal complete atrioventricular block with QT prolongation and alternating ventricular pacemakers using multichannel magnetocardiography and currentarrow maps. Fetal Diagn Ther. 2002, 17 (3): 1736. 10.1159/000048033.
Kandori A, Oe H, Miyashita K, Ohira S, Naritomi H, Chiba Y, Ogata K, Murakami M, Miyashita T, Tsukada K: Magnetoencephalographic measurement of neural activity during period of vertigo induced by cold caloric stimulation. Neurosci Res. 2003, 46 (3): 2818. 10.1016/S01680102(03)000920.
Oe H, Kandori A, Murakami M, Miyashita K, Tsukada K, Naritomi H: Cortical functional abnormality assessed by auditoryevoked magnetic fields and therapeutic approach in patients with chronic dizziness. Brain Res. 2002, 957 (2): 37381. 10.1016/S00068993(02)035552.
Kandori A, Oe H, Miyashita K, Date H, Yamada N, Naritomi H, Chiba Y, Murakami M, Miyashita T, Tsukada K: Visualisation method of spatial interictal discharges in temporal epilepsy patients using magnetoencephalogram. Med Biol Eng Comput. 2002, 40 (3): 32731. 10.1007/BF02344215.
Burghoff M, Mackert BM, Haberkorn W: Visualization of action currents in peripheral nerves from the biomagnetic field. Biomed Tech. 2005, 50 (Suppl 1/1): 17980.
Koch H: SQUID Magnetocardiography: Status and Perspectives. IEEE Trans Appl Superconductivity. 2001, 11: 4959. 10.1109/77.919284.
HÃ¤mÃ¤lÃ¤inen M, Hari R, Ilmoniemi RJ, Knuutila J, Lounasmaa O: Magnetoencephalography â€“ Theory, Instrumentation, and Applications to Noninvasive Studies of the Working Human Brain. Rev Mod Phys. 1993, 65: 413497. 10.1103/RevModPhys.65.413.
Kosch O, Burghoff M, Jazbinsek V, Steinhoff U, Trontelj Z, Trahms L: Extended source models in integrated body surface potential and magnetic field mapping. Biomed Eng. 2001, 46 (Suppl 2): 144146.
Sarvas J: Basic Mathematical and Electromagnetic Concepts of the Biomagnetic Inverse Problem. Phys Med Biol. 1987, 32: 1122. 10.1088/00319155/32/1/004.
HÃ¤mÃ¤lÃ¤inen MS: A 24Channel Planar Gradiometer: System Design and Analysis of Neuromagnetic Data. Advances in Biomagnetism. Edited by: Williamson SJ, Hoke M, Stroink G, Kotani M. 1989, New York: Plenum Press, 639644.
Kandori A, Tsukada K, Haruta Y, Noda Y, Terada Y, Mitsui T, Sekihara K: Reconstruction of twodimensional Current Distribution from Tangential MCG measurement. Phys Med Biol. 1996, 41: 17051716. 10.1088/00319155/41/9/010.
Burghoff M, Schleyerbach H, Drung D, Trahms L, Koch H: A Vector Magnetometer Module for Biomagnetic Application. IEEE Trans Appl Superconductivity. 1999, 9: 40694072. 10.1109/77.783920.
Stolz R, Zakosarenko V, Schulz M, Chwala A, Fritzsch L, Meyer HG, Koestlin EO: Magnetic fulltensor SQUID gradiometer system for geophysical applications. The Leading Edge. 2006, 25 (2): 178180. 10.1190/1.2172308.
Robinson SE, Vrba J: Functional Neuroimaging by Synthetic Aperture Magnetometry (SAM). Recent Advances in Biomagnetism, Proc 11th Int Conf Biomagnetism. Edited by: Yoshimoto T, Kotani M, Kuriki S, Karibe H, Nakasato N. 1999, Sendai: Tohoku University Press, 302305.
Morguet A, Behrens S, Kosch O, Lange C, Zabel M, Selbig D, Munz DL, Schultheiss HP, Koch H: Myocardial Viability Evaluation using Magnetocardiography in Patients with Coronary Artery Disease. Coronary Artery Disease. 2004, 15 (3): 155162. 10.1097/0001950120040500000004.
Acknowledgements
The biomagnetic measurements for the example MCGsignal were obtained in a study described in reference 38. The medical writer of this paper (A.M.) was the responsible medical investigator of that study which had been funded by the German Federal Ministry for Education, Research and Technology under Grant No. 01 KX 9912/8.
Author information
Authors and Affiliations
Corresponding author
Additional information
Competing interests
The author(s) declare that they have no competing interests.
Authors' contributions
WH: theory, mathematics
US: critical revision and supportive contributions
MB: critical revision, chapter on MNG and MEG recordings
OK: critical revision, results of MCGinvestigations
AM: clinical investigation and support
HK: corresponding author, drafting of the manuscript, visualization, animation, and final approval
Electronic supplementary material
Authorsâ€™ original submitted files for images
Below are the links to the authorsâ€™ original submitted files for images.
Rights and permissions
Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
About this article
Cite this article
Haberkorn, W., Steinhoff, U., Burghoff, M. et al. Pseudo current density maps of electrophysiological heart, nerve or brain function and their physical basis. BioMag Res Tech 4, 5 (2006). https://doi.org/10.1186/1477044X45
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/1477044X45