Assessment of Regional Myocardial Displacement via Spectral Tissue Doppler Compared with Color Tissue Tracking
Background: The recent developments in tissue Doppler imaging (TDI) now more than ever permit the quantification of the myocardial function. In the current systems, tissue tracking or displacement curves are generated from color tissue Doppler data through the instantaneous temporal integral of velo...
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| Format: | Article |
| Language: | English |
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Tehran University of Medical Sciences
2008-10-01
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| Series: | Journal of Tehran University Heart Center |
| Subjects: | |
| Online Access: | https://jthc.tums.ac.ir/index.php/jthc/article/view/106 |
| _version_ | 1811258318485716992 |
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| author | Hassan Moladoust Manijhe Mokhtari-Dizaji Zahra Ojaghi-Haghighi |
| author_facet | Hassan Moladoust Manijhe Mokhtari-Dizaji Zahra Ojaghi-Haghighi |
| author_sort | Hassan Moladoust |
| collection | DOAJ |
| description | Background: The recent developments in tissue Doppler imaging (TDI) now more than ever permit the quantification of the myocardial function. In the current systems, tissue tracking or displacement curves are generated from color tissue Doppler data through the instantaneous temporal integral of velocity-time curves.
Methods: The purpose of the present study was to assess regional myocardial displacement via spectral TDI. Maximum myocardial velocities were extracted from spectral pulsed tissue Doppler images using a developed computer program and were integrated throughout the cardiac cycle. Spectral tissue Doppler echocardiography was performed to evaluate longitudinal and radial functions in 20 healthy men, and the calculated end-systolic displacements were subsequently compared with the displacements measured from the same areas via color tissue tracking.
Results: According to the Bland-Altman analysis between spectral tissue tracking and color tissue tracking, the significant arithmetic mean was 7.34 mm with SD mean differences of ±2.24 mm in all of the evaluated segments. Despite significant differences (p<0.001), there was a good significant correlation between the two methods (r=0.79, p<0.001).
Conclusion: A verification study showed that the proposed approach had the ability to assess regional myocardial displacement using spectral TDI, which can be used in a wider range of equipment than is currently possible. |
| first_indexed | 2024-04-12T18:11:28Z |
| format | Article |
| id | doaj.art-c944f37358a24876af109bc1f2c66457 |
| institution | Directory Open Access Journal |
| issn | 1735-8620 2008-2371 |
| language | English |
| last_indexed | 2024-04-12T18:11:28Z |
| publishDate | 2008-10-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Journal of Tehran University Heart Center |
| spelling | doaj.art-c944f37358a24876af109bc1f2c664572022-12-22T03:21:49ZengTehran University of Medical SciencesJournal of Tehran University Heart Center1735-86202008-23712008-10-0134104Assessment of Regional Myocardial Displacement via Spectral Tissue Doppler Compared with Color Tissue TrackingHassan Moladoust0Manijhe Mokhtari-Dizaji1Zahra Ojaghi-Haghighi2Department of Medical Physics, Tarbiat Modares University, Tehran, Iran.Department of Medical Physics, Tarbiat Modares University, Tehran, Iran.Shaheed Rajaie Heart Center, Iran University of Medical Sciences, Tehran, Iran.Background: The recent developments in tissue Doppler imaging (TDI) now more than ever permit the quantification of the myocardial function. In the current systems, tissue tracking or displacement curves are generated from color tissue Doppler data through the instantaneous temporal integral of velocity-time curves. Methods: The purpose of the present study was to assess regional myocardial displacement via spectral TDI. Maximum myocardial velocities were extracted from spectral pulsed tissue Doppler images using a developed computer program and were integrated throughout the cardiac cycle. Spectral tissue Doppler echocardiography was performed to evaluate longitudinal and radial functions in 20 healthy men, and the calculated end-systolic displacements were subsequently compared with the displacements measured from the same areas via color tissue tracking. Results: According to the Bland-Altman analysis between spectral tissue tracking and color tissue tracking, the significant arithmetic mean was 7.34 mm with SD mean differences of ±2.24 mm in all of the evaluated segments. Despite significant differences (p<0.001), there was a good significant correlation between the two methods (r=0.79, p<0.001). Conclusion: A verification study showed that the proposed approach had the ability to assess regional myocardial displacement using spectral TDI, which can be used in a wider range of equipment than is currently possible.https://jthc.tums.ac.ir/index.php/jthc/article/view/106UltrasonographyDopplerNumerical analysiscomputer-assistedDiagnostic imaging |
| spellingShingle | Hassan Moladoust Manijhe Mokhtari-Dizaji Zahra Ojaghi-Haghighi Assessment of Regional Myocardial Displacement via Spectral Tissue Doppler Compared with Color Tissue Tracking Journal of Tehran University Heart Center Ultrasonography Doppler Numerical analysis computer-assisted Diagnostic imaging |
| title | Assessment of Regional Myocardial Displacement via Spectral Tissue Doppler Compared with Color Tissue Tracking |
| title_full | Assessment of Regional Myocardial Displacement via Spectral Tissue Doppler Compared with Color Tissue Tracking |
| title_fullStr | Assessment of Regional Myocardial Displacement via Spectral Tissue Doppler Compared with Color Tissue Tracking |
| title_full_unstemmed | Assessment of Regional Myocardial Displacement via Spectral Tissue Doppler Compared with Color Tissue Tracking |
| title_short | Assessment of Regional Myocardial Displacement via Spectral Tissue Doppler Compared with Color Tissue Tracking |
| title_sort | assessment of regional myocardial displacement via spectral tissue doppler compared with color tissue tracking |
| topic | Ultrasonography Doppler Numerical analysis computer-assisted Diagnostic imaging |
| url | https://jthc.tums.ac.ir/index.php/jthc/article/view/106 |
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