Speeding Up Colon CAD Using KD-Tree

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)

Abstract

This paper proposes an efficient technique to speed up our colon CAD software for flat lesion recognition in colon CT images. The proposed technique uses KD-tree to speed up the neighbor searching part in the software. We test our method under Linux system with intel(R) Xeon(R) 2.66 GHz CPU X5355, 12 G memory. Experiments on 50 computed tomographic colonography (CTC) scan database demonstrate the performance of our speeding up method based on KD-tree. It significantly reduces the average processing time from 6,134 s down to 514 s for each CTC scan.

Notes

Acknowledgements

Supported by the National Natural Science Foundation of China under Grant No.61001086 and the Fundamental Research Funds for the Central Universities Grant No. ZYGX2011X004.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina

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