DocumentCode :
333741
Title :
Intelligent systems using fuzzy logic for the determination of breast tumors
Author :
Cheng, Xiangyong ; Itoh, Kouichi ; Ohya, Akihisa ; Omoto, Kiyoka ; Wang, Yi ; Taniguchi, Nobuyuki ; Ogawa, Syuji ; Akiyama, Iwaki
Author_Institution :
Mitani Sangyo Co. Ltd., Tokyo, Japan
Volume :
3
fYear :
1998
fDate :
29 Oct-1 Nov 1998
Firstpage :
1356
Abstract :
Describes an intelligent system using fuzzy logic for the determination of breast tumors in ultrasonic images. The system is based on the fuzzy logic and relaxation method for determining a surface region of breast tumor using ultrasonic voxel data. A significant feature of the system is that the membership functions are approximated by Rician density function and their parameter is determined by the histogram of the region that is classified by three dimensional LoG (Laplace of Gaussian) filtering. The authors applied the proposed algorithm to a total of seventy clinical cases, forty malignant and thirty benign tumors. As a result, they obtained a successful extraction and a good agreement with the evaluation of tumors using a conventional diagnosis
Keywords :
biomedical ultrasonics; fuzzy logic; mammography; medical image processing; tumours; Rician density function; benign tumors; breast tumor surface region; breast tumors determination; clinical cases; histogram; intelligent systems; malignant tumors; medical diagnostic imaging; relaxation method; three dimensional Laplace of Gaussian filtering; ultrasonic voxel data; Benign tumors; Breast tumors; Cancer; Density functional theory; Filtering; Fuzzy logic; Histograms; Intelligent systems; Relaxation methods; Rician channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
ISSN :
1094-687X
Print_ISBN :
0-7803-5164-9
Type :
conf
DOI :
10.1109/IEMBS.1998.747131
Filename :
747131
Link To Document :
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