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A joint ROI extraction filter for computer aided lung nodule detection

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 4th International Conference on Biomedical Engineering and Biotechnology, 18–21 August 2015, Shanghai, China

Guest editors: Feng Liu, Dong-Hoon Lee, Ricardo Lagoa and Sandeep Kumar

Article type: Research Article

Authors: Shi, Zhenghaoa; * | Xu, Binxina | Zhao, Minghuaa | Zhao, Jinweia | Wang, Yinghuia | Liu, Yonghongc | Zhang, Mingb | He, Lifengd | Suzuki, Kenjie

Affiliations: [a] School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, 710048, China | [b] First Affiliated Hospital of School of Medicine, Xi’an Jiaotong University, Xi’an, 710061, China | [c] Xianyang Hospital, Yan’an University, Xianyang, 712000, China | [d] School of Information Science and Technology, Aichi Prefectural University, Nagakute, Aichi 4801198, Japan | [e] Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago,IL 60616-3793, USA

Correspondence: [*] Corresponding author: Zheng-hao Shi, School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China. Tel.: +1 029 8231 2231; Fax: +1 029 8231 2231; E-mail: ylshi@xaut.edu.cn.

Note: [1] This work is partially supported by the grant from the National Natural Science Foundation of China(No.61401355 and 61202198), a grant from the Nature Science Foundation of Shaanxi province (2014JQ8299), Nature Science Foundation of Shaanxi Education Department (No.2013JK1136)

Keywords: Region of interesting (ROI), extraction, hessian matrix, Laplacian of Bilateral (LoB)

DOI: 10.3233/BME-151448

Journal: Bio-Medical Materials and Engineering, vol. 26, no. s1, pp. S1491-S1499, 2015

Published: 2015
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Extraction of regions of interest plays an important rule in computer aided lung nodules detection. However, because of the complex background and structure, accurate and robust extraction of ROIs in medical image still remains a problem. Aim at this problem, a two-stage operations joint filter: Hessian-LoB, is proposed. The first stage is blobs (which being taken as candidate ROIs) detection and the second stage is ROIs extraction. In the first stage, the derivatives of a Hessian matrix at multiple scales are convolved with input images to localize blobs. Then in the second stage, Laplacian of bilateral filter (LoB) is convolved with the detected blobs to extract the final ROIs. Experiments show that the proposed filter can deal with images with noise and low brightness contrast, and is effectively in ROI extraction for lung nodule detection.

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