Earticle

초록

영어

Accurate diagnosis of acute appendicitis is a difficult problem in practice especially if the patient is too young or pregnant women in that radiological test have high risk. Thus, ultrasonographic image analysis is a good way to reduce the difficulty. However, studies show that there are few reliable common predictors and the decision is usually made by medical expert's naked eye examination since there is yet a reliable software tools to use in decision making. In this paper, we propose a new intelligent method to extract appendix from abdomen ultrasonography as a basic building block of developing such intelligent tool for medical practitioners. Knowing that the appendix is located at the lower organ area below the bottom fascia line, we conduct a series of image processing techniques to find the fascia line correctly. And then we apply fuzzy binarization to the organ area in order to extract appendix accurately. The experiment verifies that this two-phase image analysis is effective in extracting appendix.

목차

Abstract
 1. Introduction
 2. Extracting Fascia Line
  2.1. Enhancing Abdominal Fascia Area by Ends-in Search Stretching
  2.2. Extracting Fascia Area by Block Binarization
  2.3. Noise Removal with Grassfire Algorithm
  2.4. Extracting Bottom Fascia and Fascia Line
 3. Extracting the Appendix
  3.1. Extracting Candidate Appendix Area by Fuzzy Binarization
  3.2. Extract Appendix Area
 4. Experiment and Analysis
 5. Conclusion
 References

키워드

저자

• Seung Ik Park [ Dept. of Computer and Information Engineering, Silla University ]
• Kwang Baek Kim [ Dept. of Computer Engineering, Silla University ] corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605