Extraction of 3D Vascular Tree Skeletons Based on the Analysis of Connected Components Evolution

@inproceedings{Carrillo2005ExtractionO3,
  title={Extraction of 3D Vascular Tree Skeletons Based on the Analysis of Connected Components Evolution},
  author={Juan F. Carrillo and Maciej Orkisz and Marcela Hern{\'a}ndez Hoyos},
  booktitle={CAIP},
  year={2005}
}
The article is dealing with the automated extraction of branching structures in 3D medical images. A generic object-oriented programming framework is proposed, in which most existing iterative algorithms for centerline extraction in tubular objects can be efficiently implemented, and the bifurcations can be handled. New algorithms can thus easily be derived. We describe a simple algorithm for fast extraction of the 3D structure of the vascular tree, which has been implemented within this… 
Recursive tracking of vascular tree axes in 3D medical images
TLDR
From one initial point, the algorithm extracts a vascular tree where the differences of size and of intensity between the branches are not large and missed sub-trees can be recovered using additional starting points.
Vascular tree extraction from 3D images
TLDR
This work is dealing with the segmentation of branching tubular structures in 3D medical images, and proposes a reasonable trade-off between processing time and required human interaction, sensitive to the value of the weighting parameter.
The extraction of vascular axis based on signed distance function
This paper presents a simple and fast algorithm to extract the skeleton of vascular structures from segmented vessel datasets. Our algorithm is based on a step by step approach to move a small volume
3-D Vascular Skeleton Extraction and Decomposition
TLDR
A novel vascular skeleton extraction and decomposition technique for computer-assisted diagnosis and analysis that is able to detect changes in aneurysm volumes and surface areas close to that segmented by an expert is introduced.
Extraction of Vascular Structure in 3D Cardiac CT Images by Using Object/Background Normalization
TLDR
The idea of the method is to represent a 3D computed tomography image as a combination of vascular structure and background that has normal distribution in some neighborhood, and test results show that high quality 3D structures are reconstructed, without requiring a priori knowledge or user interaction.
Vascular Skeleton Extraction and Decomposition
TLDR
A novel vascular skeleton extraction and decomposition technique for computer assisted diagnosis (CAD) and analysis that is able to detect changes in aneurysm volumes and surface areas close to that segmented by an expert is introduced.
Author ' s personal copy A review of 3 D vessel lumen segmentation techniques : Models , features and extraction schemes
TLDR
This paper reviews state-of-the-art literature on vascular segmentation with a particular focus on 3D contrast-enhanced imaging modalities (MRA and CTA) and discusses the theoretical and practical properties of recent approaches and highlight the most advanced and promising ones.
Models, algorithms and applications in vascular image segmentation
A synthesis of the authors' projects in the field of 3D vascular image processing in the last decadeis provided. This work was motivated by the following applications: display improvement, extraction
Skeletonization method for vessel delineation of arteriovenous malformation
...
...

References

SHOWING 1-10 OF 19 REFERENCES
Semi-automated tabulation of the 3D topology and morphology of branching networks using CT: application to the airway tree.
TLDR
A semi-automated algorithm has been developed to obtain the full 3D topology and dimensions (direction cosine, length, diameter, branching and gravity angles) of branching networks using their CT images and can provide complete data set analysis much more quickly than manual measurements.
Model-based quantitation of 3-D magnetic resonance angiographic images
TLDR
The approach is a promising technique to assess several geometrical vascular parameters directly on the source 3-D images, providing an objective mechanism for stenosis grading.
Models for 3d vascular image analysis
TLDR
This presentation will give an overview of the recently used deformable models, frequently used in the field of medical images, by means of energy functionals with data attachment terms and regularising terms.
Computer-assisted analysis of three-dimensional MR angiograms.
TLDR
Quantitative results obtained from application of the MARACAS method showed that the vessel centerline correctly tracked the vessel path and that contours were correctly estimated, and the computation of stenosis severity was accurate.
Algorithms for the analysis of 3D magnetic resonance angiography images
TLDR
This thesis shows, in two applications, how computerized image analysis can help define and implement more objective and reproducible angiography methods, by using segmentation to improve visualization of blood-pool contrast enhanced (CE)-MRA, with an additional application in coronary Computerized Tomographic Angiography.
Gray-scale skeletonization of small vessels in magnetic resonance angiography
TLDR
New methods for detection of vessel paths and for determination of branching patterns of vascular trees are presented based on the ordered region growing (ORG) algorithm that represents the image as an acyclic graph, which can be reduced to a skeleton by specifying vessel endpoints or by a pruning process.
A review of vessel extraction techniques and algorithms
TLDR
This work has mainly targeted the extraction of blood vessels, neurosvascular structure in particular, but has also reviewed some of the segmentation methods for the tubular objects that show similar characteristics to vessels.
Geometric Flows for Segmenting Vasculature in MRI: Theory and Validation
TLDR
A novel multi-scale geometric flow for segmenting vasculature from standard MRI which can be applied to the easier cases of angiography data and can be used not only to improve upon the results obtained from angiographic data but also as an alternative when such data is not available.
...
...