DMT Presenter Control Manual do Utilizador Página 34

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34
Culture Myograph System Model 202CM
If the analysis rectangle contains a “valid” vessel but only has the outer edges
determined by edge detection, VediView
will indicate that an estimation algorithm
is being used to determine the inner (or lumen) edges (Fig. 3.22 and 3.23). This
condition will be clear from the analysis results window showing the green "model"
icon .
In this particular example VediView
assumes that, since the analysis rectangle
contains "one wall", a model is required to determine the position of the inner edges
(or lumen). This assumption is made to cope with images of contracting vessels.
There are two possible models invoked by this condition and the user has to select
which to use. The choice can be made from the conguration dialog box, which is
accessed by selecting the "congure analysis" icon on the tool bar or select the
"congure analysis" menu item from the pop up menu (click on ) on the analysis
control bar (Fig. 3.24).
The two models available for estimating the lumen dimensions, when edge detection
is inaccurate or impossible, are the “incompressible” and the “extinction” models.
Both models are adaptive with respect to earlier edge detection of the lumen. In
other words, they use the properties of the vessel determined in the uncontracted
state to estimate the dimensions in the partially or fully contracted state. The
“incompressible” model assumes that the vessel walls contract without changing
their cross-sectional area. The “extinction” model is a unique feature of VediView
,
which uses an imaging model of the vessel and a measure of the total light
absorption by the vessel to estimate the lumen size. The user has to determine,
by experience, which model to be used in a particular experimental setup. Since
the analysis is effective in real time, the user will be able to make appropriate
adjustments, whilst viewing their effect, until the edge detection is optimal.
Figure 3.20
Invalid vessel
Figure 3.21
No image analysis possible
Figure 3.22
One edge detec-
tion
Figure 3.23
One edge analysis
Figure 3.24
Conguration of vessel
detection and analysis.
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