2000
DOI: 10.1109/42.848184
|View full text |Cite
|
Sign up to set email alerts
|

Fast delineation and visualization of vessels in 3-D angiographic images

Abstract: A method is presented which aids the clinician in obtaining quantitative measures and a three-dimensional (3-D) representation of vessels from 3-D angiographic data with a minimum of user interaction. Based on two user defined starting points, an iterative procedure tracks the central vessel axis. During the tracking process, the minimum diameter and a surface rendering of the vessels are computed, allowing for interactive inspection of the vasculature. Applications of the method to CTA, contrast enhanced (CE)… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
101
0
2

Year Published

2003
2003
2020
2020

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 176 publications
(103 citation statements)
references
References 25 publications
0
101
0
2
Order By: Relevance
“…Different minimum cost path techniques [3,10,18,20] provide automatic and robust vessel centerline extraction for vascular analysis after segmentation. Skeleton-based vascular segmentation algorithms [1,35,38] were also proposed for both size measurement and the connectivity analysis simultaneously. In most of these methods, they integrate the results from the aforementioned feature extraction methods, which are inadequate at branching points.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Different minimum cost path techniques [3,10,18,20] provide automatic and robust vessel centerline extraction for vascular analysis after segmentation. Skeleton-based vascular segmentation algorithms [1,35,38] were also proposed for both size measurement and the connectivity analysis simultaneously. In most of these methods, they integrate the results from the aforementioned feature extraction methods, which are inadequate at branching points.…”
Section: Literature Reviewmentioning
confidence: 99%
“…From the flux point of view, regularization is considered as preprocessing of the gradient vector field and is not necessarily performed by Gaussian filtering. In [8,9,10,11], the Gaussian standard deviation varies with the targeted vessel radius, following principles of Gaussian linear scale-space theory. Regularization induces a tradeoff between detection robustness and discriminative power [11].…”
Section: Gradient Field Regularization and Related Workmentioning
confidence: 99%
“…In [9,10], Gaussian-smoothed gradient vectors are also projected on radial directions. The core feature from [11] computes Gaussian derivatives oriented along radial rays, which is theoretically equivalent to the projection method from a continuous point of view.…”
Section: Gradient Field Regularization and Related Workmentioning
confidence: 99%
“…A typical method is to extract medial axes of the structures and then quantitate the width of the contour of cross-section orthogonal to the axis [1], [2], [3]. The diameters of small-diameter structures are known to be overestimated when they are measured based on the cross-sectional contours [3].…”
Section: Introductionmentioning
confidence: 99%