2010
DOI: 10.1016/j.ultrasmedbio.2010.06.021
|View full text |Cite
|
Sign up to set email alerts
|

Two-Dimensional Flow Imaging in the Carotid Bifurcation Using a Combined Speckle Tracking and Phase-Shift Estimator: A Study Based on Ultrasound Simulations and in vivo Analysis

Abstract: A 2D blood velocity estimator is presented combining speckle tracking (ST) and phase-shift estimation (PE) to measure lateral (vx) and axial (vz) velocities respectively. Estimator properties were assessed in a carotid bifurcation using ultrasound simulations based on computational fluid dynamics, allowing validation towards a ground truth. Simulation results were supported with in vivo data of a healthy carotid. ST and PE estimates were combined as: 1) vx from 2D-ST and vz from PE, 2) vx from 2D-ST and vz fro… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
15
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 20 publications
(15 citation statements)
references
References 24 publications
0
15
0
Order By: Relevance
“…Although, comparing with speckle tracking methods, dual-beam Doppler flow vector estimation methods are more robust in cases where blood flow partially goes out of the imaging plane such that the measured flow vector is merely a planar projection of the true 3D flow vector [28], [29], it suffers from one critical weakness: that is, any errors in one of the two frequency shift measurements would give rise to significant vector estimation variance. This issue can be overcome by extending the principles to a multi-beam implementation, as will be discussed in the next subsection.…”
Section: B Dual-beam Implementationsmentioning
confidence: 99%
See 1 more Smart Citation
“…Although, comparing with speckle tracking methods, dual-beam Doppler flow vector estimation methods are more robust in cases where blood flow partially goes out of the imaging plane such that the measured flow vector is merely a planar projection of the true 3D flow vector [28], [29], it suffers from one critical weakness: that is, any errors in one of the two frequency shift measurements would give rise to significant vector estimation variance. This issue can be overcome by extending the principles to a multi-beam implementation, as will be discussed in the next subsection.…”
Section: B Dual-beam Implementationsmentioning
confidence: 99%
“…Published images typically include straight tube phantoms with steady flow profiles [134] and pilot in-vivo images of the human carotid artery [81], [45], [29], [133], [135]. This display approach has also been used in both single-line, multigate Doppler methods [136] and those that render image maps of flow vectors [133].…”
Section: A Arrow Displaysmentioning
confidence: 99%
“…EC1 to EC4 are the diameter of ECA, and CC1, CC2 means that of ICA. We establish the geometry by AutoCAD ® [6].…”
Section: Geometric Model Constructionmentioning
confidence: 99%
“…More work has been published recently on the combination of ultrafast imaging and ST, for the assessment of blood velocity [28,29,38] and vessel wall strain [39][40][41][42]. Here, subsample resolution displacement estimates were obtained by performing 1D [28,29,38,43] or 2D [42] parabolic interpolation of the pattern matching function.…”
Section: Introductionmentioning
confidence: 99%
“…Here, subsample resolution displacement estimates were obtained by performing 1D [28,29,38,43] or 2D [42] parabolic interpolation of the pattern matching function. No clear reasoning was provided concerning the match between this interpolation function and the sampling, or shape, of the pattern matching function, which is a direct result of the spacing in the ultrasound sampling grid.…”
Section: Introductionmentioning
confidence: 99%