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1 Department of Mechanical Engineering and 2 Department of Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven; 3 Department of Experimental In Vivo NMR, Utrecht University, 3508 TC Utrecht; and 4 Department of Biophysics, Maastricht Univesity, Maastricht, 6200 MD The Netherlands
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ABSTRACT |
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Cardiac myofiber orientation is a
crucial determinant of the distribution of myocardial wall stress.
Myofiber orientation is commonly quantified by helix and transverse
angles. Accuracy of reported helix angles is limited. Reported
transverse angle data are incomplete. We measured cardiac myofiber
orientation postmortem in five healthy goat hearts using magnetic
resonance-diffusion tensor imaging. A novel local wall-bound coordinate
system was derived from the characteristics of the fiber field. The
transmural course of the helix angle corresponded to data reported in
literature. The mean midwall transverse angle ranged from
12 ± 4° near the apex to +9.0 ± 4° near the base of the left
ventricle, which is in agreement with the course predicted by Rijcken
et al. (18) using a uniform load hypothesis. The
divergence of the myofiber field was computed, which is a measure for
the extent to which wall stress is transmitted through the myofiber
alone. It appeared to be <0.07 mm
1 throughout the
myocardial walls except for the fusion sites between the left and right
ventricles and the insertion sites of the papillary muscles.
cardiac myofiber orientation; cardiac coordinate system
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INTRODUCTION |
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WITHIN THE CARDIAC
WALL, muscle fibers are oriented in a characteristic helixlike
pattern, which is similar across various animal species. Streeter et
al. (24, 26) were the first to quantitatively characterize
the cardiac myofiber field. Since then, myofiber orientation has been
measured by Ross and Streeter (19), Greenbaum et al.
(9), and more recently by Nielsen et al.
(14). For quantification of fiber orientation, the helix and transverse angle have been introduced by Streeter
(23). The helix angle represents the longitudinal
component of the fiber orientation, whereas the transverse angle
represents the transmural component of the fiber orientation. Measured
transmural helix angle courses typically range from +60° at the
subendocardium to
60° at the subepicardium, although a large
variation between measurements exists. Data on the transverse angle are
incomplete, stating only that it is typically on the order of a few
degrees, being positive near the base and negative near the apex
(23, 25).
According to mathematical models of cardiac wall mechanics, the distribution of myofiber orientation within the cardiac wall is the main determinant of the distribution of stress and myofiber shortening throughout the wall during ejection (1, 2, 5, 7). Small variations in the fiber orientation within the range of the reported values (±10°) resulted in large variations (±50%) of calculated myofiber stress (5). Therefore, it was concluded that the accuracy of the present methods to quantify fiber orientation was not sufficient to estimate local myofiber load.
Accuracy of measured myofiber orientation data is limited by several causes. Partly, the lack of accuracy can be attributed to the employed histological technique. Although in a well-cut slice the in-plane fiber orientation can be measured accurately, the possible out-of-plane component remains unknown. This severely affects the accuracy with which the transverse angle can be measured. Typically, the resulting accuracy of histological techniques is limited to ~10° (19, 26), and the best volume resolution obtained is ~10 mm3 (14).
Another issue in the quantitative description of the fiber orientation is the ambiguity in the definition of a local wall-bound coordinate system. Irregularities in the shape of the cardiac wall, such as the presence of papillary muscles and trabeculations at the endocardial wall, hamper the definition of a local coordinate system.
The purpose of this study was to more accurately assess three-dimensional cardiac myofiber orientation by applying magnetic resonance (MR)-diffusion tensor imaging (MR-DTI) and a novel definition of the local coordinate system.
MR-DTI has been developed to measure the diffusion tensor for water in biological tissues (3, 4). In validation studies performed in muscular tissues, it has been shown that the principal direction of the diffusion tensor corresponding to the largest diffusivity is statistically similar to the myofiber direction (10, 11, 20, 28). Also, the technique has been used to reconstruct the fiber orientation in one rabbit heart (21) and a human heart in vivo at low resolution (16, 27). However, quantitative results have not been reported. Compared with histological methods, the main advantage of MR-DTI is that true three-dimensional myofiber direction vectors are determined in the intact heart with respect to the well determined magnet coordinate system.
To obtain an unambiguous definition of the local coordinate system, it was investigated whether such a coordinate system could be defined based on the characteristics of the myofiber field.
Therefore, myofiber orientation was measured and quantified by the transmural course of the helix angle and the apex-to-base course of the midwall transverse angle using a novel definition of the local coordinate system. Fiber orientation between several normal hearts was compared.
Furthermore, we evaluated the divergence of the myofiber orientation field, which was suggested to be close to zero in a study by Peskin et al. (15). The divergence value may be elevated in regions where irregularities in the cardiac fiber field occur, such as the attachment of the right ventricle (RV) and the papillary muscles.
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METHODS |
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This study was performed on five healthy female goats weighing 26-55 kg that were killed for unrelated orthopedic experiments. After an overdose of Euthasate, the goats were bled to death. The chest was opened and the heart was rapidly excised and rinsed in cold saline. After the removal of the atria, the ventricles were weighed. Thereafter, the heart was casted in a 20% gelatin substance to maintain its shape and subsequently stored at 4°C. Before measurement, the samples were allowed to adjust to a room temperature of 20°C. MR-DTI measurements were performed within 3 days.
Diffusion tensor imaging.
1H MR-DTI measurements were performed in a 4.7-T magnet
interfaced to a Varian NMR spectrometer. The instrument was equipped with a gradient insert (inner diameter 12 cm) that provided a maximal
gradient strength of 220 mT/m with a rise time of 500 µs. Bore
temperature was maintained at 20°C. The gelatin-casted heart was
wrapped in plastic foil and placed in a birdcage radiofrequency coil in
the center of the magnet. The long axis of the left ventricle (LV) was visually aligned with the center line of the magnet bore. Diffusion-weighted images were collected with a pulsed field gradient, spin-echo MRI sequence (22), in which the dephasing lobe
of the read-out gradient was applied immediately before the data acquisition window to minimize cross talk between the imaging gradients
and the diffusion-sensitizing gradients (13). Diffusion weighting was provided using a pair of unipolar rectangular gradient pulses with a duration of
= 15 ms and a separation of
= 35 ms. Echo time was 70 ms, and repetition time was 4 s.
Diffusion data were measured in 3-mm-thick adjoining slices. The number of slices varied with heart size and was between 19 and 25. The field
of view of 100 × 100 mm and was represented with an image of
128 × 128 pixels, resulting in a pixel size of 0.78 × 0.78 mm2. Diffusion gradients were applied in 10 directions,
optimized according to Jones et al. (12). For each
direction, two different magnitudes of the sensitizing gradient were
applied. The strength of these gradients was optimized according to
Jones et al. (12), which implies that one measurement with
minimal diffusion weighing was followed by another measurement in which
~66% of the signal vanished. In our experiments, Jones' condition
was met with b values, as defined by others
(8), of 0 and 1,763 s/mm2. Two
averages were acquired in a total measurement time of ~2.5 h.
Determination of the myofiber direction.
For each diffusion direction, apparent diffusion coefficients (ADCs)
were determined in each pixel. The 10 ADC maps thus derived were used
to calculate the tensor components of the diffusion tensor in a
least-squares approach. Because ADC values typically range from
0.1 × 10
3 to 2.2 × 10
3
mm2/s, the latter value being the diffusivity measured in
free water, ADC values outside this interval were considered
unrealistic and were excluded from further analysis. The eigenvector
corresponding to the largest eigenvalue of the diffusion tensor was
considered to be the myofiber orientation, quantified with respect to
the magnet coordinate system. The reliability of the calculated
myofiber orientation was assessed by the degree of anisotropy of the
diffusion tensor, as quantified by the fractional anisotropy (FA), as
introduced by Basser et al. (4). The FA value indicates
the fraction of the diffusion that may be attributed to anisotropic diffusion.
Determination of an anatomic coordinate system.
To quantify fiber orientation in terms of the commonly used helix and
transverse angle, a transformation from the global magnet coordinate
system to the anatomic coordinate system of the heart was performed
(Fig. 1). The normal to the imaging plane
was taken as a first estimate of the local long-axis direction. In each slice, the pixels corresponding to myofibers with an out-of-plane component smaller than ±0.1
· rad (~5.7°) were
selected as a first estimate of the midwall region. A best fit circle
through these pixels was calculated, yielding a first estimate of the center of the LV in that slice. Next, the local long-axis direction was
then determined as the best fit line through the centers of the LV
cross sections in five adjoining slices. The local myofiber orientation
was reevaluated with respect to the new estimate of the local long-axis
direction. Thus a new set of midwall myofiber pixels was found. Again,
a circle was fitted to these pixels to yield the true LV center in a
slice. This center served as the origin of a local cylindrical
coordinate system along the local anatomic long axis. The direction
with angle
= 0 was defined along the anterior RV fusion site.
Thus the image plane may be tilted in the local cylindrical coordinate
system.
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Presentation of fiber direction data. For each goat heart, fiber orientations were measured in 50,000 voxels typically. Because it is impossible to show all data, a selection was made to illustrate the main characteristics of the fiber field. The helix angle was evaluated at several sectors in the equatorial LV short-axis slice. The transverse angle was determined in the midmyocardial free wall for all slices from apex to base and averaged over the circumference. Furthermore, the divergence of the fiber field was calculated at each voxel.
Selection of the equatorial slice. The equatorial slice was defined as the slice that was positioned at one-third of the long-axis length from the base of the heart (26). The base of the heart was defined as the slice nearest to the outflow tract but not showing it. The apex was the first slice showing cardiac tissue.
Helix angle.
The definition of the fiber direction is ambiguous, because flipping
the fiber direction by 180° results in the same fiber direction.
Therefore, the vector defining fiber orientation was selected such that
the circumferential component was always positive. The helix angle
(

)] was
determined for each region using a fifth-order polynomial fit through
the data. This radius was used to normalize the transmural position
(R)
|
(1) |
0.3. To characterize the average helix angle course of all five
hearts, helix angle data were grouped and a polynomial fit was
determined in all four sectors. The papillary muscles were excluded
based on visual inspection, and the endocardial radius was determined. The normalized endocardial position (hendo)
could then be calculated using the above-mentioned equation.
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Midwall transverse angle.
The transverse angle is the angle by which the cardiac myofibers cross
the wall from the epicardium to endocardium.


), where
the free wall is defined as the LV region spanned between the RV fusion
sites (Fig. 3). The transverse angle was averaged over the
circumference of the LV free wall. The apex-to-base length
(Lab) was scaled from 0 at the apex to 1 at the base.
Geometry. LV geometry was characterized by the mean radius at which the helix angle changes sign (Rm). This radius was determined in all slices from apex to base. Lab was approximated by the distance between the basal and apical slice. Furthermore, the mean wall thickness of the equatorial slice (WT) was determined. For this analysis, the papillary muscles were excluded.
Statistical analysis. To investigate whether the ranges and slopes of the transmural helix angles were different in the different sectors, a multiple-sample comparison was performed. An ANOVA table was constructed, and a F-test was performed to evaluate whether there was a statistically significant difference between the means of the variables at the 95% confidence level. If so, a multiple-range test was performed using Fisher's least-significant difference procedure to assess which mean values were mutually significantly different. The order of the polynomial fits applied to the data was determined using an ANOVA analysis for the coefficients of the polynomial in the order fitted.
Divergence of the fiber field. Peskin (15) showed that from the quasistatic momentum equilibrium equations, it can be derived that the divergence of the cardiac fiber field is zero using the following assumptions: 1) during ejection, active stress is the most important determinant of cardiac stress; 2) active stresses are mainly uniaxial; 3) myofiber stress distribution is uniform throughout the wall; and 4) the hydrostatic pressure gradient is oriented perpendicular to the fiber direction. To investigate to which extent these assumptions hold in the real heart, we computed the magnitude of the divergence of the fiber field on a pixel-by-pixel basis as Eq. 2.
We described the fiber field by unit vector
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(2) |
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RESULTS |
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General geometric characteristics of the hearts are summarized in
Table 1. Total LV and RV mass of the
ventricles was 129.2 ± 48.8 g (mean ± SD).
Rm and Lab of the LVs
were 18.5 ± 2.4 and 59.4 ± 8.9 mm, respectively.
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The out-of-plane component of the fiber orientation in the equatorial
plane as well as the projection of the fiber orientation onto the plane
are shown in Fig. 4. More axially
oriented fibers are found near the epicardium and endocardium and in
the papillary muscles. Midwall fibers run predominantly in the
circumferential direction. At the posterior RV fusion site, there is a
smooth transition of in-plane fibers from the LV to the RV. At the
anterior RV fusion site, this transition is more abrupt.
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The transmural course of the helix angle, as shown in Fig.
5, typically ranges from +90 to
75°
at the anterior site, from +85 to
55° at the intrapapillary muscle
site, from +80 to
40° at the posterior site, and from +50 to
85° at the septal site.
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The range of the helix angles was largest in the anterior sector and
significantly smaller in the posterior sector (Table 2). The slope of transmural course of the
helix angles was steeper in the anterior and septal sectors than in
posterior and interpapillary muscle sectors. In all sectors except for
the septal sector, a contribution of the papillary muscles was visible
as a plateau of 90° fibers. In the subepicardial layers of the
anterior and septal sectors, a steep slope was observed.
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The papillary muscles were excluded from the data to allow comparison with standard normalization techniques. Consecutively, transmural helix angle data of all five hearts were grouped and fitted using a fifth-order polynomial, which resulted in an optimum fit in view of model complexity and statistical significance of the coefficients. The SD in myofiber orientation thus observed was on the order of ±6° in all sectors (Fig. 5).
The transverse angle varies from apex to base as shown in Fig.
6. With the use of a third-order
polynomial fit to the data, the mean transverse angle course varied
from
12 ± 4° near the apex to +9 ± 4° near the base
of the heart. The change of sign of the transverse angle occurred
between the equator and base of the heart. The apex-to-base course of
Rm (Fig. 6) was best described by an elliptical
course. The mean equatorial radius appeared to be 19 mm.
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The divergence of the myofiber field was <0.07 mm
1 in
the major part of the myocardial walls but significantly exceeded this level at the anterior fusion of the RV and LV walls and at the insertion sites of the papillary muscles (Fig.
7).
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DISCUSSION |
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DTI measurements. Fiber orientation was measured postmortem in five goat hearts using MR-DTI. Less than 2% of the ADC values were excluded from the data. Values for the FA as found in the literature for fresh myocardial tissue range from 0.17 to 0.65 (8, 11, 16). Our value of 0.35 ± 0.03 is well within this range, indicating that the fiber direction was well determined. Most MR-DTI measurements were performed within 4 h after excision of the heart. We compared the FA values of hearts that were measured immediately after excision and those that were measured after 3 days. The FA values appeared not to be significantly different between both groups, implying that the structures that are responsible for the diffusion anisotropy are still intact 3 days after excision.
Typically, in one heart, fiber orientation was measured in ~50,000 voxels with a voxel size of 1.8 mm3, which is an enhancement in volume resolution compared with histological measurement techniques by a factor of 5. Regionally, the long-axis direction was defined by the direction of a line through center points of the LV in the nearby slices. The transmural coordinate was normalized unambiguously using R0. Myofiber orientations have been characterized by the helix and transverse angles. SDs for helix angles measured in individual hearts were in the order of ±6°, which is slightly less than the ±10° obtained in histological measurements.Local coordinate system. In the present study, the transverse and helix angles were defined with respect to a local cylindrical coordinate system (Fig. 1) instead of the more common wall coordinate system, which consists of local longitudinal, transmural, and circumferential directions (14, 26). In the equatorial slice, these coordinate systems coincide. The determined equatorial helix angle data are therefore directly comparable to measurements by other investigators.
Outside the equatorial slice, the transverse fiber angle at R0 in the cylindrical coordinate system (

t) are related as follows
|
(3) |
is the angle between the local longitudinal direction
and the local LV long axis. At the equator, where
= 0, the definitions of
t and 

from the apex-to-base course of
Rm (Fig. 6), maximum differences between the two
angles were on the order of 2° in the most apical slice and on the
order of 1° in the most basal slice.
Errors in the determination of the local long-axis direction
affect calculation of the helix and transverse angle. Near the apex,
local geometry is practically spherical. As a consequence, near the
apex determination of the local long-axis direction is inherently ill
defined and sensitive to errors. Further away from the apex, the
long-axis direction is well determined, with maximally expected
alignment errors between the true LV long axis and our estimation of
about ±10°. Alignment errors of ±10° result in a maximal offset
of the calculated helix angle course by a similar amount. The influence
of errors in long-axis determination on calculated transverse angles
roughly follows the behavior described by Eq. 3, where
now represents the misalignment error. This implies that for
misalignment errors in the order of ±10°, the error in the
transverse angle is as little as ~2% of the calculated 

Normalized transmural position. Usually the transmural position is normalized to the local wall thickness. However, determination of wall thickness is difficult due to the presence of papillary muscles and endocardial trabeculations, which hampers detection of the endocardial wall (19, 26). Instead of normalization using the endocardial wall, R0 is much better defined and has a smooth appearance. Therefore, R0 was used as a reference radius to which all transmural distances were normalized in this study. Recognition of common patterns between different hearts is therefore enhanced using this normalization technique.
To compare our normalization method with the commonly used method, the transmural course of the fiber orientation normalized between endocardium and epicardium was also calculated. The endocardial wall was determined from the divergence plots, where the papillary muscles could be detected. The SD to the helix angle data determined in this manner appeared to be 11°, which is considerably more than the 6° found using our normalization method.Helix and transverse angle data. Our data on the helix angle are within the range of earlier reported measurements and model predictions (1, 9, 14, 17, 19, 23, 24, 26).
To our best knowledge, these are the first detailed measurements of the transmural component of muscle fiber direction as a function of the longitudinal position. Earlier studies reported values at only a few longitudinal positions, often averaged across the wall thickness. For comparison with these data, we assume a parabolic transmural course of the transverse angle, with a zero angle at the endocardium and epicardium. Our midwall value then equals 1.5 times the transmural average value. Near the apex, the average transmural angle was measured to be
4.5° (23), which is lower than our averaged
value of
7.8°. Halfway between the apex and equator, literature
(23) and our values are similar, equaling
3.5 and
3°, respectively. Averaged over the subequatorial region, a midwall
value of
8.0° has been reported (25), which compares
reasonably with our value of
6°. Averaged throughout the whole
heart, we obtained a value of
3°, which is considerably lower than
the value of
7.9° obtained by Scollan et al. (20, 21). This may be because in our analysis the most apical
slices were left out because determination of the long axis was
considered to be inaccurate. In the apical slices, however, the
highest values for the transverse angle are expected. Finally, the
transverse angle course that we measured compares well to the
optimization prediction by Rijcken et al. (6, 18).
It has been assumed that myofiber orientation adapts such that local
stresses and strains are distributed uniformly throughout the heart
(15, 17, 18). Employing this condition in a mathematical model, fiber orientation can be optimized to obtain homogeneous fiber
shortening during ejection (18). The resulting optimum orientation was found to be well determined, indicating that variation of fiber orientation in between hearts may be small. This finding was
confirmed by the present study.
Divergence of the fiber field.
As shown by Peskin (15), the assumption that tissue loads
are mainly transmitted by the active fibers, each fiber bearing the
same load, can be converted to the condition that the divergence of the
fiber field is zero. In our study, the divergence of the fiber field
was <0.07 mm
1 throughout the myocardium and
significantly elevated at the insertion sites of the papillary muscles
and at the anterior RV fusion site. Thus calculation of the divergence
may enable detection of papillary muscle structures.
1. To detect these small differences,
an accuracy of ~0.3° is necessary, which greatly exceeds the
current 6° accuracy.
In conclusion, the myofiber structure offers an excellent base for the
definition of a cardiac coordinate system, based on the local long-axis
direction and the transmural coordinate normalized using
R0. With respect to this coordinate system,
helix and transverse angles can be defined to characterize the fiber field.
The transmural course of the helix angle we found compares well
to earlier measurements. The slope of the transmural helix angle course
is largest at the anterior and septal sites. The apex-to-base course of
the transverse angle varies according to a third-order polynomial, with
values of
12° at the apex and +9° at the base.
Both the transmural course of the helix angle and the apex-to-base
course of the transverse angle that we measured corresponded well to
model predictions based on uniformity of stress and strain.
The divergence of the myofiber field appeared to be <0.07
mm
1 in the major part of the myocardial walls except for
sharp transitions at the fusion sites between the LV and RV and at the
insertion of the papillary muscles. The accuracy with which the
measurements were performed is not good enough to allow evaluation of
uniformity of the stresses.
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ACKNOWLEDGEMENTS |
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The authors gratefully acknowledge the technical assistance of Hans Vosmeer and Boudewijn van der Sande.
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FOOTNOTES |
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Address for reprint requests and other correspondence: P. Bovendeerd, Dept. of Biomedical Engineering, Eindhoven Univ. of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands (E-mail: p.h.m.bovendeerd{at}tue.nl).
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
First published February 28, 2002;10.1152/ajpheart.00968.2001
Received 5 November 2001; accepted in final form 20 February 2002.
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