title: A joint ROI extraction filter for computer aided lung nodule detection.
abstract: 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.
authors.affiliation: School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, 710048, China.
authors.forename: Zhenghao
authors.initials: Z
authors.lastname: Shi
authors.affiliation: School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, 710048, China.
authors.forename: Binxin
authors.initials: B
authors.lastname: Xu
authors.affiliation: School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, 710048, China.
authors.forename: Minghua
authors.initials: M
authors.lastname: Zhao
authors.affiliation: School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, 710048, China.
authors.forename: Jinwei
authors.initials: J
authors.lastname: Zhao
authors.affiliation: School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, 710048, China.
authors.forename: Yinghui
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Xianyang Hospital, Yan'an University, Xianyang, 712000, China.
authors.forename: Yonghong
authors.initials: Y
authors.lastname: Liu
authors.affiliation: First Affiliated Hospital of School of Medicine, Xi'an Jiaotong University, Xi'an, 710061, China.
authors.forename: Ming
authors.initials: M
authors.lastname: Zhang
authors.affiliation: School of Information Science and Technology, Aichi Prefectural University, Nagakute, Aichi 4801198, Japan.
authors.forename: Lifeng
authors.initials: L
authors.lastname: He
authors.affiliation: Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago,IL 60616-3793, USA.
authors.forename: Kenji
authors.initials: K
authors.lastname: Suzuki
mesh_terms: D000465:Algorithms; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D000069550:Machine Learning; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D003074:Solitary Pulmonary Nodule / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: Laplacian of Bilateral (LoB); Region of interesting (ROI); extraction; hessian matrix