[An algorithm of nodule detection based on high resolution CT images].

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.

Cite this paper

@article{Wu2008AnAO, title={[An algorithm of nodule detection based on high resolution CT images].}, author={Long-Hai Wu and He-Qin Zhou and Chuan-fu Li}, journal={Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation}, year={2008}, volume={32 3}, pages={175-8} }