Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/144514
Title: Low-Cost 3-D Flow Estimation of Blood With Clutter
Authors: Siyuan Wei;Ming Yang;Jian Zhou;Richard Sampson;Oliver D. Kripfgans;J. Brian Fowlkes;Thomas F. Wenisch;Chaitali Chakrabarti
Year: 2017
Publisher: IEEE
Abstract: Volumetric flow rate estimation is an important ultrasound medical imaging modality that is used for diagnosing cardiovascular diseases. Flow rates are obtained by integrating velocity estimates over a cross-sectional plane. Speckle tracking is a promising approach that overcomes the angle dependency of traditional Doppler methods, but suffers from poor lateral resolution. Recent work improves lateral velocity estimation accuracy by reconstructing a synthetic lateral phase (SLP) signal. However, the estimation accuracy of such approaches is compromised by the presence of clutter. Eigen-based clutter filtering has been shown to be effective in removing the clutter signal; but it is computationally expensive, precluding its use at high volume rates. In this paper, we propose low-complexity schemes for both velocity estimation and clutter filtering. We use a two-tiered motion estimation scheme to combine the low complexity sum-of-absolute-difference and SLP methods to achieve subpixel lateral accuracy. We reduce the complexity of eigen-based clutter filtering by processing in subgroups and replacing singular value decomposition with less compute-intensive power iteration and subspace iteration methods. Finally, to improve flow rate estimation accuracy, we use kernel power weighting when integrating the velocity estimates. We evaluate our method for fast- and slow-moving clutter for beam-to-flow angles of 90&x00B0; and 60&x00B0; using Field II simulations, demonstrating high estimation accuracy across scenarios. For instance, for a beam-to-flow angle of 90&x00B0; and fast-moving clutter, our estimation method provides a bias of -8.8% and standard deviation of 3.1% relative to the actual flow rate.
URI: http://localhost/handle/Hannan/144514
volume: 64
issue: 5
More Information: 772,
784
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7866872.pdf2.58 MBAdobe PDF
Title: Low-Cost 3-D Flow Estimation of Blood With Clutter
Authors: Siyuan Wei;Ming Yang;Jian Zhou;Richard Sampson;Oliver D. Kripfgans;J. Brian Fowlkes;Thomas F. Wenisch;Chaitali Chakrabarti
Year: 2017
Publisher: IEEE
Abstract: Volumetric flow rate estimation is an important ultrasound medical imaging modality that is used for diagnosing cardiovascular diseases. Flow rates are obtained by integrating velocity estimates over a cross-sectional plane. Speckle tracking is a promising approach that overcomes the angle dependency of traditional Doppler methods, but suffers from poor lateral resolution. Recent work improves lateral velocity estimation accuracy by reconstructing a synthetic lateral phase (SLP) signal. However, the estimation accuracy of such approaches is compromised by the presence of clutter. Eigen-based clutter filtering has been shown to be effective in removing the clutter signal; but it is computationally expensive, precluding its use at high volume rates. In this paper, we propose low-complexity schemes for both velocity estimation and clutter filtering. We use a two-tiered motion estimation scheme to combine the low complexity sum-of-absolute-difference and SLP methods to achieve subpixel lateral accuracy. We reduce the complexity of eigen-based clutter filtering by processing in subgroups and replacing singular value decomposition with less compute-intensive power iteration and subspace iteration methods. Finally, to improve flow rate estimation accuracy, we use kernel power weighting when integrating the velocity estimates. We evaluate our method for fast- and slow-moving clutter for beam-to-flow angles of 90&x00B0; and 60&x00B0; using Field II simulations, demonstrating high estimation accuracy across scenarios. For instance, for a beam-to-flow angle of 90&x00B0; and fast-moving clutter, our estimation method provides a bias of -8.8% and standard deviation of 3.1% relative to the actual flow rate.
URI: http://localhost/handle/Hannan/144514
volume: 64
issue: 5
More Information: 772,
784
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7866872.pdf2.58 MBAdobe PDF
Title: Low-Cost 3-D Flow Estimation of Blood With Clutter
Authors: Siyuan Wei;Ming Yang;Jian Zhou;Richard Sampson;Oliver D. Kripfgans;J. Brian Fowlkes;Thomas F. Wenisch;Chaitali Chakrabarti
Year: 2017
Publisher: IEEE
Abstract: Volumetric flow rate estimation is an important ultrasound medical imaging modality that is used for diagnosing cardiovascular diseases. Flow rates are obtained by integrating velocity estimates over a cross-sectional plane. Speckle tracking is a promising approach that overcomes the angle dependency of traditional Doppler methods, but suffers from poor lateral resolution. Recent work improves lateral velocity estimation accuracy by reconstructing a synthetic lateral phase (SLP) signal. However, the estimation accuracy of such approaches is compromised by the presence of clutter. Eigen-based clutter filtering has been shown to be effective in removing the clutter signal; but it is computationally expensive, precluding its use at high volume rates. In this paper, we propose low-complexity schemes for both velocity estimation and clutter filtering. We use a two-tiered motion estimation scheme to combine the low complexity sum-of-absolute-difference and SLP methods to achieve subpixel lateral accuracy. We reduce the complexity of eigen-based clutter filtering by processing in subgroups and replacing singular value decomposition with less compute-intensive power iteration and subspace iteration methods. Finally, to improve flow rate estimation accuracy, we use kernel power weighting when integrating the velocity estimates. We evaluate our method for fast- and slow-moving clutter for beam-to-flow angles of 90&x00B0; and 60&x00B0; using Field II simulations, demonstrating high estimation accuracy across scenarios. For instance, for a beam-to-flow angle of 90&x00B0; and fast-moving clutter, our estimation method provides a bias of -8.8% and standard deviation of 3.1% relative to the actual flow rate.
URI: http://localhost/handle/Hannan/144514
volume: 64
issue: 5
More Information: 772,
784
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7866872.pdf2.58 MBAdobe PDF