Efficient Fuzzy Image Stretching for Automatic Ganglion Cyst Extraction Using Fuzzy C-Means Quantization

Applied Sciences

Kwang Baek Kim¹  Doo Heon Song²  Sun Joo Lee³  Hyun Jun Park⁴ 

[1] Department of Artificial Intelligence, Silla University, Busan 46958, Korea;Department of Computer Games, Yong-in Art and Science University, Yong-in 17145, Korea;Department of Radiology, College of Medicine, Inje University, Busan Paik Hospital, Busan 47392, Korea;Division of Software Convergence, Cheongju University, Cheongju 28503, Korea;

关键词: ultrasonogram;    image enhancement;    ganglion cyst;    fuzzy stretching;    fuzzy C-means;   

DOI  :  10.3390/app112412094

来源: DOAJ

【 摘 要 】

Ganglion cysts are commonly observed in association with the joints and tendons of the appendicular skeleton. Ultrasonography is the favored modality used to manage such benign tumors, but it may suffer from operator subjectivity. In the treatment phase, ultrasonography also provides guidance for aspiration and injection, and the information regarding the accurate location of the pedicle of the ganglion. Thus, in this paper, we propose an automatic ganglion cyst extracting method based on fuzzy stretching and fuzzy C-means quantization. The proposed method, with its carefully designed image-enhancement policy, successfully detects ganglion cysts in 86 out of 90 cases (95.6%) without requiring human intervention.

【 授权许可】

Unknown