A. Kermani et al. / J. Biomedical Science and Engineering 3 (2010) 1078-1084

Copyright © 2010 SciRes. JBiSE

1084

Table 1. Execution time of simulation for Breast lesion.

LHRI DWT IWT Total

Algorithm

LHRI

Algorithm 1.054 sec - - 1.054 sec

LHRI +

Wavelet 0.127 sec 0.156 sec

0.016 sec

0.297 sec

Decrement

percent 87.95% - - 71.82%

Table 2. Execution time of simulation for carotid.

LHRI DWT IWT Total

Algorithm

LHRI

Algorithm 6.227 sec

- - 6.227 sec

LHRI +

Wavelet 0.549 sec

0.235 sec

0.078 sec

0.862 sec

Decrement

percent 91.18% - - 86.15%

We can see that the modified method by Wavelet seg-

mented images with details and reduced implementation

time about 90% of primary algorithm.

6. CONCLUSIONS

LHRI method segments envelope ultrasound images

effectively. However, also its computation load is prac-

tically high. We show that DWT can decrease execution

time without any change in segmentation result. Conse-

quently, the required memory for algorithm implementa-

tion, is reduced. To obtain more accurate results while

decreasing the computation load, we will use the modi-

fied wavelet and more advanced morphological proc

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