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Automated analysis of color tissue Doppler velocity recordings of the fetal myocardium using a new algorithm

Herling, Lotta (author)
Karolinska Institutet
Johnson, Jonas (author)
KTH,Medicinsk teknik
Ferm-Widlund, Kjerstin (author)
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Lindgren, Peter (author)
Karolinska Institutet
Acharya, Ganesh (author)
Karolinska Institutet
Westgren, Magnus (author)
Karolinska Institutet
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 (creator_code:org_t)
2015-08-27
2015
English.
In: Cardiovascular Ultrasound. - : Springer Science and Business Media LLC. - 1476-7120. ; 13
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Background: Tissue Doppler imaging (TDI) can be used to assess fetal cardiac function and it has been shown to detect changes associated with hypoxia in animal models. However, the analysis is cumbersome and time consuming. The main objective of this study was to evaluate the feasibility of a new algorithm developed for the automated analysis of color TDI velocity recordings of the fetal myocardium. Furthermore, we wanted to assess the effect of different sizes of region of interests (ROI) on the measurement of cardiac cycle time intervals and myocardial velocities at different gestations. Methods: This study included analysis of 261 TDI velocity traces obtained from 17 fetal echocardiographic examinations performed longitudinally on five pregnant women. Cine-loops of fetal cardiac four chamber view were recorded with color overlay in TDI mode and stored for off-line analysis. ROIs of different sizes were placed at the level of the atrioventricular plane in the septum and in the right and left ventricular walls of the fetal heart. An automated algorithm was then used for the analysis of velocity traces. Results: Out of the total 261 velocity traces, it was possible to analyze 203 (78 %) traces with the automated algorithm. It was possible to analyze 93 % (81/87) of traces recorded from the right ventricular wall, 82 % (71/87) from the left ventricular wall and 59 % (51/87) from the septum. There was a trend towards decreasing myocardial velocities with increasing ROI length. However, the cardiac cycle time intervals were similar irrespective of which ROI size was used. Conclusions: An automated analysis of color TDI fetal myocardial velocity traces seems feasible, especially for measuring cardiac cycle time intervals, and has the potential for clinical application.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Keyword

Tissue Doppler imaging
Fetal cardiac function
Region of interest (ROI)
Automated algorithm

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ref (subject category)
art (subject category)

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