An algorithm of nodule detection based on high resolution CT images.
- Author:
Long-Hai WU
1
;
He-Qin ZHOU
;
Chuan-Fu LI
Author Information
1. Department of Automation, USTC, Hefei. wlhai@mail.ustc.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
False Positive Reactions;
Humans;
Sensitivity and Specificity;
Solitary Pulmonary Nodule;
diagnostic imaging;
Tomography, X-Ray Computed;
methods
- From:
Chinese Journal of Medical Instrumentation
2008;32(3):175-178
- CountryChina
- Language:Chinese
-
Abstract:
Combining the speed of two-dimensional detection with the precision of three-dimensional detection, an automatic algorithm based on high resolution CT images is proposed to identify nodules in this paper. Nodule candidates are extracted by a two-dimensional convergence index (CI) filter, then a three-dimensional Hessian matrix detection filter is introduced to reduce false positive lung nodules, Experiments show that the algorithm is effective with a sensitivity of 90% and the false positive lung nodules per slice is 0.33.
