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Doppler Optical Coherence Tomography of Retinal Circulation
Published on: September 18, 2012
Contrast biases the autocorrelation phase shift estimation in Doppler tissue imaging
Marcus Ressner1, Tomas Jansson, Jonny Cedefamn
1Department of Biomedical Engineering, Linköping University, Linköping, Sweden. marcus.ressner@imt.liu.se
Ultrasound in Medicine & Biology
|January 21, 2009
Summary
Ultrasound contrast agents (UCAs) improve echocardiography image quality but can bias Doppler tissue imaging (DTI) velocity estimates. Using low acoustic power or a destruction burst minimizes these UCA-induced biases for accurate myocardial function assessment.
Area of Science:
- Cardiovascular Imaging
- Biomedical Ultrasound Engineering
Background:
- Doppler tissue imaging (DTI) is crucial for assessing regional myocardial function.
- Image quality and border delineation challenges in DTI often necessitate ultrasound contrast agents (UCAs).
- Understanding UCA effects on DTI is vital for accurate myocardial motion interpretation.
Purpose of the Study:
- To investigate how UCA signal contribution and nonlinear wave propagation affect DTI velocity estimation.
- To evaluate the impact of UCA destruction on DTI measurements.
Main Methods:
- Model experiments using a clinical 2-D grayscale scanner.
- Computational simulations of DTI velocity estimators with synthetic pulses and bubble echoes.
- Analysis of experimentally-sampled RF data of transmitted and backscattered contrast echoes.
Main Results:
- UCA destruction causes bidirectional velocity bias in individual estimates.
- Spatial averaging of DTI measurements with UCA results in a negative velocity bias.
- UCA destruction significantly impacts integrated mean velocity over time (displacement).
Conclusions:
- Performing DTI with UCAs at low acoustic power (Mechanical Index <= 0.3) minimizes bubble rupture effects.
- Employing a 'Flash imaging'-like destruction burst before each Doppler pulse package can clear the area of microbubbles.
- These strategies enhance visualization and ensure accurate DTI measurements when using UCAs.
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