Paper Info
Title
Recognition method of lung nodules using blood vessel extraction techniques and 3D object models
Abstract
In this paper, we propose a method for reducing false positives in X-ray CT images using ridge shadow extraction techniques and 3D geometric object models. Suspicious shadows are detected by our variable N-quoit (VNQ) filter, which is a type of mathematical morphology filter. This filter can detect lung cancer shadows with the sensitivity over 95[%], but it also detects many false positives which are mainly related to blood vessel shadows. We have developed two algorithms to distinguish lung nodule, shadows from blood vessel shadows. In the first algorithm, the ridge shadows, which come from blood vessels, are emphasized by our Tophat by Partial Reconstruction filter which is also a type of mathematical morphology filter. And then, the region of the ridge shadow is extracted using binary distance transformation. In the second algorithm, we propose a recognition method of nodules using 3D geometric lung nodule and blood vessel models. The anatomical knowledge about the 3D structures of nodules and blood vessels can be reflected in recognition process. By applying our new method to actual CT images (37 patient images), a good result has been acquired.
Year
DOI
Venue
2003
10.1117/12.480665
Proceedings of SPIE
Keywords
Field
DocType
chest X-ray CT images,automatic detection of lung cancer,extraction of blood vessels,3D nodule/blood vessel model
Shadow,Computer vision,Mathematical morphology,Computer science,Reconstruction filter,Computed tomography,Artificial intelligence,Blood vessel,False positive paradox
Conference
Volume
ISSN
Citations 
5032
0277-786X
5
PageRank 
References 
Authors
0.52
1
7
Name
Order
Citations
PageRank
gentaro fukano1527.53
Hotaka Takizawa28416.49
Kanae Shigemoto3111.16
Shinji Yamamoto49416.35
Tohru Matsumoto58210.34
Yukio Tateno67914.41
Takeshi Iinuma7558.64