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    <title>Lupotti, F.A.</title>
    <link>http://repub.eur.nl/res/aut/6600/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>Quantitative blood flow as assessed by intravascular ultrasound (Doctoral Thesis)</title>
      <link>http://repub.eur.nl/res/pub/31957/</link>
      <pubDate>2002-09-11T00:00:00Z</pubDate>
      <description>The aim of the present study was to develop the correlation-based method for
quantitative blood flow for intravascular ultrasound purposes. The feasibility of
the technique was studied by means of computer simulations, in vitro and in
animal measurements, and in patient validation. A general overview in IVUS
flow is presented (Chapter 2). Computer simulations were implemented for the
study of the decorrelation characteristics of the ultrasound beam from the lVUS
array catheter. First, blood was mimicked as a collection of randomly located
point scatterers as single red blood cells (Chapter 3). Second, strings of point
scatterers were used as aggregates of red blood cell (Chapter 4). Different blood
flow profiles were also studied by means of computer simulation (Chapter -5). In
vitro measurements were performed to validate the results presented in Chapter
3, 4 and 5 (Chapter 6). In vitro measurements of the ultrasound beam of the
IVUS array catheter were performed to calibrate the correlation-based method for
quantitative blood flow method (Chapter 7). Noise in the radio frequency signals
is of major importance in the correlation-based blood velocity method; therefore,
a technique was needed to correct the correlation coefficients for noise. Numerical validation, and in vitro and in animal measurements were performed to validate
the correlation-based method for blood velocity estimation and quantitative volume
blood flow, and the new technique that corrects for noise (Chapter 8 and
9). Finally, a functional parameter such as coronary flow reserve ( CFR, ratio between
high flow and low flow) of the heart was evaluated in patients (Chapter 9).
In another series of patients CFR was compared with Geometric Measurements
of Coronary Dimensions (Chapter 10).</description>
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