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Blood Velocities Estimation using Ultrasound

Pirnia, Elham (2013) MASM01 20132
Mathematical Statistics
Abstract (Swedish)
This thesis consists of two parts. In the rst part, the iterative data-adaptive BIAA
spectral estimation technique was extended to estimate lateral blood velocities using
ultrasound scanners. The BIAA method makes no assumption on samples depth
or sampling pattern, and therefore allows for transmission in duplex mode imaging.
The technique was examined on a realistic Field II simulation data set, and showed
fewer spectral artifacts in comparison with other techniques. In the second part of
the thesis, another common problem in blood velocity estimation has been investigated,
namely strong backscattered signals from stationary echoes. Two methods
have been tested to examine the possibility of overcoming this problem. However,
... (More)
This thesis consists of two parts. In the rst part, the iterative data-adaptive BIAA
spectral estimation technique was extended to estimate lateral blood velocities using
ultrasound scanners. The BIAA method makes no assumption on samples depth
or sampling pattern, and therefore allows for transmission in duplex mode imaging.
The technique was examined on a realistic Field II simulation data set, and showed
fewer spectral artifacts in comparison with other techniques. In the second part of
the thesis, another common problem in blood velocity estimation has been investigated,
namely strong backscattered signals from stationary echoes. Two methods
have been tested to examine the possibility of overcoming this problem. However,
neither of these methods resulted in a better estimation of the blood velocities, most
likely as the clutter characteristics in color
ow images vary too rapidly to allow for
this form of models. This might be a result of the non-stationary tissue motions
which could be caused by a variety of factors, such as cardiac activities, respiration,
transducer/patient movement, or a combination of them. (Less)
Please use this url to cite or link to this publication:
author
Pirnia, Elham
supervisor
organization
course
MASM01 20132
year
type
H2 - Master's Degree (Two Years)
subject
language
English
id
4175205
date added to LUP
2013-11-26 11:01:39
date last changed
2013-11-26 11:01:39
@misc{4175205,
  abstract     = {This thesis consists of two parts. In the rst part, the iterative data-adaptive BIAA
spectral estimation technique was extended to estimate lateral blood velocities using
ultrasound scanners. The BIAA method makes no assumption on samples depth
or sampling pattern, and therefore allows for transmission in duplex mode imaging.
The technique was examined on a realistic Field II simulation data set, and showed
fewer spectral artifacts in comparison with other techniques. In the second part of
the thesis, another common problem in blood velocity estimation has been investigated,
namely strong backscattered signals from stationary echoes. Two methods
have been tested to examine the possibility of overcoming this problem. However,
neither of these methods resulted in a better estimation of the blood velocities, most
likely as the clutter characteristics in color 
ow images vary too rapidly to allow for
this form of models. This might be a result of the non-stationary tissue motions
which could be caused by a variety of factors, such as cardiac activities, respiration,
transducer/patient movement, or a combination of them.},
  author       = {Pirnia, Elham},
  language     = {eng},
  note         = {Student Paper},
  title        = {Blood Velocities Estimation using Ultrasound},
  year         = {2013},
}