JUCS - Journal of Universal Computer Science 16(10): 1327-1342, doi: 10.3217/jucs-016-10-1327
Gabor Filter Aided 3D Ultra-Sonography Diagnosis System with WLAN Transmission Consideration
Wei-Ming Chen‡, Chi-Hsiang Lo‡, Han-Chieh Chao§, Chun-Cheng Chang§‡ National Ilan University, I-Lan, Taiwan§ National Dong Hwa University, Hualien, Taiwan
Corresponding author: Wei-Ming Chen ( wmchen@niu.edu.tw ) © Wei-Ming Chen, Chi-Hsiang Lo, Han-Chieh Chao, Chun-Cheng Chang. This article is freely available under the J.UCS Open Content License. Citation:
Chen W-M, Lo C-H, Chao H-C, Chang C-C (2010) Gabor Filter Aided 3D Ultra-Sonography Diagnosis System with WLAN Transmission Consideration. JUCS - Journal of Universal Computer Science 16(10): 1327-1342. https://doi.org/10.3217/jucs-016-10-1327 |  |
Abstract
The Gabor filter aided diagnosis system for 3-dimensional ultra-sonography (3DUS) under the WLAN environment is introduced. Due to the important relationship between breast tumour surface features and internal architecture, we applied our system using 3D inter-pixel correlations instead of 2D features. Gabor filters provide a multi-resolution representation of texture, which increases ultrasound technology capability in the differential diagnosis of solid breast tumours. Our experiments show that the performance of the proposed diagnostic method is effective. Moreover, physicians manipulate our diagnostic system using hand-held devices in the hospital. Because WLAN is unstable, our system ensures good transmission quality. We also focus on transmission control strategies that adapt to the time varying wireless network conditions. We analyze strategies that use competitive analysis techniques. The experiments show that the algorithms performance is effective.
Keywords
3D ultrasound, 3DUS, breast tumour, speckle noise, Gabor filter, auto-correlation, neural network, WLAN transmission