tic_wor

This function returns the wash out rate from time-intensity curve data. Raw data
is smoothed using a loess smoother. Wash out rate is calculated as the absolute value of the most negative
slope of the loess curve after peak intensity is reached. A higher number
therefore refers to faster washout. It is recommended that
plotresult is set to TRUE in the first instance to visually confirm the analysis.

Plots and analyzes time-intensity curve data, such as data from
(contrast-enhanced) ultrasound. Values such as peak intensity, time to
peak, area under the curve, wash in rate and wash out rate are calculated.

Samuel Tingle

tican

Plot and Analyse Time-Intensity Data

tic_wor function

<dl><dt>data</dt>
<dd>A dataframe with time and intensity values as columns.</dd>
<dt>timevar</dt>
<dd>A character string (in quotes) with the dataframe column name for the time variable.</dd>
<dt>intensityvar</dt>
<dd>A character string (in quotes) with dataframe column name for the intensity variable.</dd>
<dt>loess.span</dt>
<dd>A number between 0 and 1, with larger values resulting in a smoother curve.</dd>
<dt>plotresult</dt>
<dd>TRUE or FALSE to determine whether a plot of the results is generated.</dd>
<dt>...</dt>
<dd>Additional arguments to be passed into the loess() function.</dd></dl>

Arguments

Return wash out rate from time-intensity data — tic_wor

<dl>

<dt>data</dt>
<dd>A dataframe with time and intensity values as columns.</dd>


<dt>timevar</dt>
<dd>A character string (in quotes) with the dataframe column name for the time variable.</dd>


<dt>intensityvar</dt>
<dd>A character string (in quotes) with dataframe column name for the intensity variable.</dd>


<dt>loess.span</dt>
<dd>A number between 0 and 1, with larger values resulting in a smoother curve.</dd>


<dt>plotresult</dt>
<dd>TRUE or FALSE to determine whether a plot of the results is generated.</dd>


<dt>...</dt>
<dd>Additional arguments to be passed into the loess() function.</dd>

</dl>

tic_wor: Return wash out rate from time-intensity data

Description

Usage

Value

Arguments

Examples