Comparisons are made among automatic segmentation (AUTO) and manual segmentations (R1 and R2). A-C) Histograms showing the distribution of distances between corresponding stent struts. D-F) Histograms showing the radial component of the distance; quartiles (Q1, median, and Q3) are highlighted with different vertical lines.</p
<p>Enhanced reconstruction (red circles) aligned closely with OCT/angiographic measurements (black l...
<p>Top—Linear regression plots of the lumen area of 160 randomly selected OCT images: A) automatic s...
This thesis deals with the segmentation and characterization of coronary arteries and stents in Opti...
The ‘good’ quality OCT pullbacks are considered. Comparisons are made among automatic segmentation (...
International audienceThis study's aim was to control the stents apposition by automatically analyzi...
A) Original OCT image in Cartesian coordinates. B) Image after pre-processing. C) Rough stent struts...
Automatic algorithms for stent struts segmentation in optical coherence tomography (OCT) images of c...
Background / objectivesAutomatic algorithms for stent struts segmentation in optical coherence tomog...
The implantation of intracoronary stents is currently the standard approach for the treatment of cor...
Optical coherence tomography (OCT) is an established catheter-based imaging modality for the assessm...
Optical coherence tomography (OCT) is an established catheter-based imaging modality for the assessm...
<p>Distributions of the total (top) and radial (bottom) distances between corresponding points of th...
Purpose: Intravascular optical coherence tomography (IV-OCT) is a high-resolution imaging method use...
<p>(a) Result of manual stent segmentation. (b) Result of automatic stent segmentation. (c) Result o...
<p>Example of stent strut detection. A) Two A-scans are analyzed. The first one passes through a ste...
<p>Enhanced reconstruction (red circles) aligned closely with OCT/angiographic measurements (black l...
<p>Top—Linear regression plots of the lumen area of 160 randomly selected OCT images: A) automatic s...
This thesis deals with the segmentation and characterization of coronary arteries and stents in Opti...
The ‘good’ quality OCT pullbacks are considered. Comparisons are made among automatic segmentation (...
International audienceThis study's aim was to control the stents apposition by automatically analyzi...
A) Original OCT image in Cartesian coordinates. B) Image after pre-processing. C) Rough stent struts...
Automatic algorithms for stent struts segmentation in optical coherence tomography (OCT) images of c...
Background / objectivesAutomatic algorithms for stent struts segmentation in optical coherence tomog...
The implantation of intracoronary stents is currently the standard approach for the treatment of cor...
Optical coherence tomography (OCT) is an established catheter-based imaging modality for the assessm...
Optical coherence tomography (OCT) is an established catheter-based imaging modality for the assessm...
<p>Distributions of the total (top) and radial (bottom) distances between corresponding points of th...
Purpose: Intravascular optical coherence tomography (IV-OCT) is a high-resolution imaging method use...
<p>(a) Result of manual stent segmentation. (b) Result of automatic stent segmentation. (c) Result o...
<p>Example of stent strut detection. A) Two A-scans are analyzed. The first one passes through a ste...
<p>Enhanced reconstruction (red circles) aligned closely with OCT/angiographic measurements (black l...
<p>Top—Linear regression plots of the lumen area of 160 randomly selected OCT images: A) automatic s...
This thesis deals with the segmentation and characterization of coronary arteries and stents in Opti...