Structural analysis based on adaptive window for pulmonary nodule detection
WANG Kai
ZHANG Yu
LIU Zhexing
LIN Bingquan
WU Zhiqiang
CAO Lei
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.
Keywords：pulmonary nodule detectionHessian matrixstructure coefficientadaptive windowstructure analysis
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 759-765 )