Adhesion Pulmonary Nodules Detection Based on Dot-Filter and Extracting Centerline Algorithm
Joint Authors
Wang, Liping
Dong, Jianghui
Liu, Liwei
Wang, Xin
Li, Yang
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A suspected pulmonary nodule detection method was proposed based on dot-filter and extracting centerline algorithm.
In this paper, we focus on the distinguishing adhesion pulmonary nodules attached to vessels in two-dimensional (2D) lung computed tomography (CT) images.
Firstly, the dot-filter based on Hessian matrix was constructed to enhance the circular area of the pulmonary CT images, which enhanced the circular suspected pulmonary nodule and suppresses the line-like areas.
Secondly, to detect the nondistinguishable attached pulmonary nodules by the dot-filter, an algorithm based on extracting centerline was developed to enhance the circle area formed by the end or head of the vessels including the intersection of the lines.
20 sets of CT images were used in the experiments.
In addition, 20 true/false nodules extracted were used to test the function of classifier.
The experimental results show that the method based on dot-filter and extracting centerline algorithm can detect the attached pulmonary nodules accurately, which is a basis for further studies on the pulmonary nodule detection and diagnose.
American Psychological Association (APA)
Liu, Liwei& Wang, Xin& Li, Yang& Wang, Liping& Dong, Jianghui. 2015. Adhesion Pulmonary Nodules Detection Based on Dot-Filter and Extracting Centerline Algorithm. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057948
Modern Language Association (MLA)
Liu, Liwei…[et al.]. Adhesion Pulmonary Nodules Detection Based on Dot-Filter and Extracting Centerline Algorithm. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1057948
American Medical Association (AMA)
Liu, Liwei& Wang, Xin& Li, Yang& Wang, Liping& Dong, Jianghui. Adhesion Pulmonary Nodules Detection Based on Dot-Filter and Extracting Centerline Algorithm. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057948
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057948