Shuang Leng1, Shuo Zhang2, Xiaodan Zhao1, Baoru Leong1, Yiying Han1, Yasutomo Katsumata3, Stuart Cook1,4, Ru San Tan1,4, and Liang Zhong1,4
1National Heart Centre Singapore, Singapore, Singapore, 2Philips Healthcare Singapore, Singapore, Singapore, 3Philips Healthcare Japan, Tokyo, Japan, 4Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
Synopsis
We have developed a
semi-automatic tracking system of atrioventricular junction (AVJ) deformation
with two-, three-, and four-chamber cardiovascular magnetic resonance (CMR) long-axis
images 1. In this study, we applied the feature-tracking technique in
18 radial rotational long-axis cine CMR planes and evaluated the motion of 36
evenly located AVJ points. Results have shown that 1) the obtained average AVJ
velocities (Sm, Em and Am) and maximal displacements are independent of the
number of AVJ points selected, and 2) the routinely acquired CMR imaging
generated in clinical practice are sufficient enough for dynamic assessment of
AVJ deformation.Purpose
To investigate the robustness
and reliability of clinical long-axis CMR imaging for assessment of AVJ
excursion and recoil by applying a semi-automatic tracking system.
Materials and Methods
Six human subjects
(47±14 yr) in the absence of any left ventricular (LV) and/or right ventricular
(RV) dysfunction were enrolled and underwent CMR scan. The protocol was
approved by the SingHealth centralized institutional review board, and informed
consent was obtained from each participant. All subjects were imaged on a 3T scanner
(Ingenia, Philips Healthcare, Best, Netherlands) using steady-state free
precession (SSFP) cine gradient echo sequences. Standard survey images were acquired
followed by a two-, three-, and four-chamber views, as well as 5 short-axis
slices parallel to the mitral valve ring covering the left ventricle from base
to apex. With these views as guidance, 18 radial slices were acquired with 10° angular
equidistance in the LV long axis, defined from the apex to the centre of the
mitral valve orifice (
Fig. 1(a)). Typical
imaging parameters were as follows: field of view 300 x 300 mm, voxel size 1.04
x 1.04 x 8.00 mm, 40 frames/cardiac cycle, SENSE factor 2, breath-hold time
7s. An in-house developed program
1 was applied to semi-automatically
track the AVJ deformation as a function of time in
all 18 planes (
Fig. 1(b)). Briefly, a
small rectangle (called mask) was manually drawn in the end-diastole frame containing
the AVJ point of interest, which was automatically tracked throughout the
cardiac cycle using the template matching algorithm
2. Four
clinically useful data were then extracted:
Sm, positive peak systolic velocity;
Em, early diastolic velocity;
Am,
late diastolic velocity during atrial contraction; and
maximal displacement. Time to peak systolic and diastolic
velocities as well as maximal displacement were also measured. The CMR-derived
motion parameters were averaged over all, and every two, three and four AVJ
points. In addition, slices 4, 10 and 16 corresponding to routine CMR long-axis
views (
Fig. 1(b)) were selected and used
to generate results based on an average of 6 AVJ points (
Fig. 2(a) and
(b)).
Results and Discussion
Our proposed tracking
system successfully extracted the motion parameters for all the AVJs of all
subjects enrolled in the study.
Figure
2(a) and
(b) showed the computed AVJ velocity and displacement curves of
one 39-yr-old male healthy volunteer in slices 4, 10 and 16. The extracted
values of 6-point mean Sm, Em, Am and maximal displacement were 8.7, 13.3, 7.6
cm/s and 15.3 mm, respectively.
Figure
2(c) presented the peak AVJ velocities and displacements as a function of
annular segment along the AVJ.
Figure 3
and
Table 1 compared the motion parameters based on different number of AVJ
points. These results demonstrate, first, the CMR-derived mean AVJ motion
parameters were not affected by the number of uniformly selected AVJ points
along the annulus. Second, the 6-point mean results based on routinely acquired
long-axis CMR views agree well with those averaged over all the 36 AVJ points.
Conclusion
As important clinical
indicator with both structural and functional information, AVJ motion
parameters can be successfully derived by applying a previously introduced
semi-automatic tracking and post-processing system based on multiple radially
rotational long-axis CMR. Routinely acquired two-, three-, and four-chamber CMR
views seem to be robust and reliable enough without additional imaging planes.
Potential added clinical value by exploiting full long-axis cine sets needs to
be further investigated.
Acknowledgements
No acknowledgement found.References
1. Leng
S, Zhao XD, Huang FQ, Wong JI, Su BY, Allen JC, Kassab GS, Tan RS, Zhong L.
Automated quantitative assessment of cardiovascular magnetic resonance-derived
atrioventricular junction velocities. Am J Physiol Heart Circ Physiol 2015 Sep
25:ajpheart.00284.2015. Epub 2015 Sep 25.
2. Gonzalez
RC, Woods RE. Digital image processing. Prentice-Hall, Inc. Upper Saddle
River, NJ, USA. 2006.