CLASSIFICATION OF APPENDICITIS BASED ON ULTRASOUND IMAGE

Kinsana Htwe, Aung Soe Khaing

Abstract: Ultrasound image can facilitate the physician to identify the cause of an enlarged abdominal organ. Ultrasound is no use the ionizing radiation way so it is useful for scanning pregnant patient. Ultrasound is available and inexpensive modality with the potential for highly accurate imaging in the patient suspected to have acute appendicitis. In order to detect the appendicitis from the ultrasound, an algorithm will be developed using MATLAB Image Processing Toolbox to identify the diagnosis of appendix solely based on ultrasound image. Ultrasound images of appendicitis are imported into MATLAB and are passed through a set of filters to remove background noise. Next, the filtered images are run through a set of segmentation algorithms and a set of edge detection algorithms which identifies and defines the region of interest. Various thresholding methods can be used for segmentation of the image. After image processing, measuring the appendicitis diameter image can be helpful for a better diagnosis.

Keywords: Ultrasound, Appendicitis, Image segmentation, Image detection, Euclidean distance

DOI: https://doi.org/10.15623/ijret.2014.0309064