We compare the relative error in the prediction of vessel centerlines calculated from simulations of local vasculature (shown in Fig 9). Cdist(d, m) is the average centerline distance between the skeletonized vessel in the data, d, and the skeletonized vessel predicted by the model, m.</p
In this work we present a robust and accurate method for the computation of centerlines inside branc...
The accuracy and usefulness of computed flow data in an artery is dependent on the initial geometry,...
Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis ...
Each column depicts the data (green) and model prediction (red), with overlap in yellow, of days 5, ...
We compare the relative error in the calibration best fit, the 1-parameter, and 4-parameter predicti...
Each column depicts the data (green), model prediction (red), and overlap of the two (yellow) on day...
Accurate determination of the central vessel axis is a prerequisite for automated arteries diseases ...
<p>The <i>x</i>-axis is the unstressed radius of the single vessel. We compute the modeling errors o...
<p>The red and blue lines represent the modeling errors induced by the CWK model and the WK model, r...
The development of 3D reconstruction methods of the coronary vasculature has gained substantial grou...
Centerlines of blood vessels are useful tools to make important anatomical measurements (length, dia...
<p>(A) Representative centerline of a 3-dpf midbrain vasculature. Red, green and yellow mark vessel ...
Magnetic resonance imaging is often used as a source for reconstructing vascular anatomy for the pur...
Bar plots comparing the clinical pressure and flow at relevant anatomic landmarks, and ventricular s...
PURPOSE To evaluate different centerline analysis applications using objective ground truth from ...
In this work we present a robust and accurate method for the computation of centerlines inside branc...
The accuracy and usefulness of computed flow data in an artery is dependent on the initial geometry,...
Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis ...
Each column depicts the data (green) and model prediction (red), with overlap in yellow, of days 5, ...
We compare the relative error in the calibration best fit, the 1-parameter, and 4-parameter predicti...
Each column depicts the data (green), model prediction (red), and overlap of the two (yellow) on day...
Accurate determination of the central vessel axis is a prerequisite for automated arteries diseases ...
<p>The <i>x</i>-axis is the unstressed radius of the single vessel. We compute the modeling errors o...
<p>The red and blue lines represent the modeling errors induced by the CWK model and the WK model, r...
The development of 3D reconstruction methods of the coronary vasculature has gained substantial grou...
Centerlines of blood vessels are useful tools to make important anatomical measurements (length, dia...
<p>(A) Representative centerline of a 3-dpf midbrain vasculature. Red, green and yellow mark vessel ...
Magnetic resonance imaging is often used as a source for reconstructing vascular anatomy for the pur...
Bar plots comparing the clinical pressure and flow at relevant anatomic landmarks, and ventricular s...
PURPOSE To evaluate different centerline analysis applications using objective ground truth from ...
In this work we present a robust and accurate method for the computation of centerlines inside branc...
The accuracy and usefulness of computed flow data in an artery is dependent on the initial geometry,...
Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis ...