earticle

영어

Diagnosis of appendicitis is an area of interest in clinical research since long. Specifically speaking, accurate diagnosis of acute appendicitis is important since it needs subsequent surgical operations and particularly if the patient is a pregnant woman or a child. However, after ultrasonography, medical expert's naked-eye examination is finally done, which is being practiced till date. Although developing full automatic appendicitis diagnosing software is a far reach goal to achieve since there are still many techniques and theories yet to be developed, but an automatic appendix extracting software can definitely developed in near future, which is now the interest of study of many researchers. In this paper, a method is proposed to extract appendix automatically from a ultrasound image. The proposed method uses various image processing techniques with morphological features of appendix. The advantages of Cubic Spline interpolation for extracting fascia area and subsequently applying K- Means clustering for extraction of appendix from the image is being discussed in this paper. Experimental result shows the appendix extracted through this method is acceptable to medical expert.