Abstract
Intestinal abnormalities and ischemia are the inflammation and injury of the intestine caused by inadequate blood supply. Acute ischemia of the small bowel can be life-threatening. Computed tomography (CT) is currently a gold standard for the diagnosis of acute intestinal ischemia in the emergency department. Accurate detection of these bowel conditions are still a difficult task for both radiologists and surgeons. Furthermore, computerized identification of these types of complex gastrointestinal disorders has been rarely developed . This talk addresses a pilot computer-based approach to this medical problem. We discuss how to use image processing algorithms to detect abnormal conditions of the bowel, from basic statistical pattern analyis [1] to geostatistical mapping of spatial uncertainty in CT scans for medical image feature extraction [2]. Experimental results obtained from the analysis of clinical data suggest the usefulness of the proposed models for automated detection of bowel ischemia.
