Thickness estimation of discrete tree-like tubular objects: Application to vessel quantification - Archive ouverte HAL Access content directly
Conference Papers Year : 2005

Thickness estimation of discrete tree-like tubular objects: Application to vessel quantification

(1, 2, 3) , (1, 2) , (1) , (2)
1
2
3

Abstract

Thickness estimation of discrete objects is often a critical step for shape analysis and quantification in medical applications. In this paper, we propose an approach to estimate the thickness (diameter or cross-section area) of discrete tree-like tubular objects in 3D binary images. The estimation is performed by an iterative process involving skeletonization, skeleton simplification, discrete cross-section plane eval- uation and finally area estimation. The method is essentially based on discrete geometry concepts (skeleton, discrete planes, and discrete area). It has been validated on phantoms in order to determine its robustness in case of thickness variations along the studied object. The method has also been applied for vessel quantification and computer-aided diagnosis of vascular pathologies in angiographic data, providing promising results.
Fichier principal
Vignette du fichier
Chillet_SCIA_2005.pdf (255.64 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01694967 , version 1 (03-03-2018)

Identifiers

Cite

Dini Chillet, Nicolas Passat, Marie-Andrée Jacob-da Col, Joseph Baruthio. Thickness estimation of discrete tree-like tubular objects: Application to vessel quantification. Scandinavian Conference on Image Analysis (SCIA), 2005, Joensuu, Finland. pp.263-271, ⟨10.1007/11499145_28⟩. ⟨hal-01694967⟩
64 View
76 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More