2012
DOI: 10.1117/12.912069
|View full text |Cite
|
Sign up to set email alerts
|

Interactive 3D segmentation by tubular envelope model for the aorta treatment

Abstract: We propose a novel interactive 3D segmentation approach and geometric model definition called tubular envelope model. It is conceived to express the shape of tubular objects. The main challenges we have achieved are the speed and interactivity of the construction. A computer program designed for this task gives the user full control of the shape and precision, with no significant computational errors. Six CT (computed tomography) aortic dissection images have been used for the tubular envelopes construction. H… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2012
2012
2015
2015

Publication Types

Select...
2
2
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 31 publications
0
2
0
Order By: Relevance
“…Then, we construct aparametric model I 3 of the aorta. That model is a 3D mesh interactively built [6]by delineating the outer aortic wall into I 2 .…”
Section: Region Of Interest Definitionmentioning
confidence: 99%
See 1 more Smart Citation
“…Then, we construct aparametric model I 3 of the aorta. That model is a 3D mesh interactively built [6]by delineating the outer aortic wall into I 2 .…”
Section: Region Of Interest Definitionmentioning
confidence: 99%
“…Otherwise, starting with a roughly computed initializationT 0 , we perform a sampling overthe selected orientations range,choosing the best parameters from a similarity measure (Dice coefficient) issued from the projections for each sample. The optimal 3D orientationT~is chosen for the sample with maximum similarity measure.The resultingcoarse transformation parameters are given after carrying out the final 3D/2D ITD algorithm for the best volume orientation (see [6] for further details).…”
Section:  Complete Algorithmmentioning
confidence: 99%