Structural analysis based on adaptive window for pulmonary nodule detection
10.3969/j.issn.1673-4254.2014.06.02
- VernacularTitle:基于自适应体窗结构分析的肺结节检测方法
- Author:
Kai WANG
1
;
Yu ZHANG
;
Zhexing LIU
;
Bingquan LIN
;
Zhiqiang WU
;
Lei CAO
Author Information
1. 南方医科大学生物医学工程学院
- Keywords:
pulmonary nodule detection;
Hessian matrix;
structure coefficient;
adaptive window;
structure analysis
- From:
Journal of Southern Medical University
2014;(6):759-765
- CountryChina
- Language:Chinese
-
Abstract:
Radiographic detection of pulmonary nodules based on three-dimensional Hessian matrix is highly sensitive but frequently produces false positive results in areas where blood vessels intersect. We propose a novel approach to pulmonary nodule detection using Hessian matrix-based adaptive window structure analysis, in which the structure coefficients is used to differentiate a voxel that belongs to a nodule or vascular structures, followed by construction of the 3D adaptive window to analyze the local structure characteristics;the nodules were then detected using the discrimination function. The experimental results on pulmonary CT images from 17 patients showed a 100%detection sensitivity for nodules of varying sizes and types, with also significantly reduced false positive results generated by the vessel junctions. This approach provides valuable assistance to follow-up positioning and segmentation of the pulmonary nodules.
