Paper Info
Title
A new 3D tubular intensity model for quantification of thin vessels in 3D tomographic images
Abstract
We introduce a new 3D curved tubular intensity model in conjunction with a model fitting scheme for accurate segmentation and quantification of thin vessels in 3D tomographic images. The curved tubular model is formulated based on principles of the image formation process, and we have derived an analytic solution for the model function. In contrast to previous straight models, the new model allows to accurately represent curved tubular structures, to directly estimate the local curvature by model fitting, as well as to more accurately estimate the shape and other parameters of tubular structures. We have successfully applied our approach to 3D synthetic images as well as 3D MRA and 3D CTA vascular images of the human. It turned out that we achieved more accurate segmentation results in comparison to using a straight model.
Year
DOI
Venue
2010
10.1117/12.844117
Proceedings of SPIE
Keywords
Field
DocType
3D Tubular Structures,Vessel Segmentation,3D Curved Tubular Intensity Model,Model Fitting
Vessel segmentation,Computer vision,Curvature,Segmentation,Optics,Image formation,Artificial intelligence,Analytic solution,Physics
Conference
Volume
ISSN
Citations 
7623
0277-786X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Stefan Wörz125632.58
Hendrik von Tengg-Kobligk2216.84
Karl Rohr334048.69