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The Extraction of ROI(Region Of Interest)s Using Noise Filtering Algorithm Based on Domain Heuristic Knowledge in Breast Ultrasound Image  

Koo, Lock-Jo (Dept. of Industrial Engineering in Ajou University)
Jung, In-Sung (Div. of Industrial and Information System Engineering in Ajou University)
Choi, Sung-Wook (Dept. of Industrial Engineering in Ajou University)
Park, Hee-Boong (Park Breast Clinic)
Wang, Gi-Nam (Div. of Industrial and Information System Engineering in Ajou University)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.31, no.1, 2008 , pp. 74-82 More about this Journal
Abstract
The objective of this paper is to remove noises of image based on the heuristic noises filter and to extract a tumor region by using morphology techniques in breast ultrasound image. Similar objective studies have been conducted based on ultrasound image of high resolution. As a result, efficiency of noise removal is not fine enough for low resolution image. Moreover, when ultrasound image has multiple tumors, the extraction of ROI (Region Of Interest) is not accomplished or processed by a manual selection. In this paper, our method is done 4 kinds of process for noises removal and the extraction of ROI for solving problems of restrictive automated segmentation. First process is that pixel value is acquired as matrix type. Second process is a image preprocessing phase that is aimed to maximize a contrast of image and prevent a leak of personal information. In next process, the heuristic noise filter that is based on opinion of medical specialist is applied to remove noises. The last process is to extract a tumor region by using morphology techniques. As a result, the noise is effectively eliminated in all images and a extraction of tumor regions is possible though one ultrasound image has several tumors.
Keywords
Image Processing; Ultrasound Image; Extraction of ROI; Noise Removal;
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