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Chinese Journal of Medical Instrumentation ; (6): 175-178, 2008.
Article in Chinese | WPRIM | ID: wpr-309620

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.


Subject(s)
Humans , Algorithms , False Positive Reactions , Sensitivity and Specificity , Solitary Pulmonary Nodule , Diagnostic Imaging , Tomography, X-Ray Computed , Methods
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