title: Identification of intestinal wall abnormalities and ischemia by modeling spatial uncertainty in computed tomography imaging findings.
abstract: Intestinal abnormalities and ischemia are medical conditions in which inflammation and injury of the intestine are 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. However, the assessment of the diagnostic performance of CT findings in the detection of intestinal abnormalities and ischemia has been a difficult task for both radiologists and surgeons. Little effort has been found in developing computerized systems for the automated identification of these types of complex gastrointestinal disorders. In this paper, a geostatistical mapping of spatial uncertainty in CT scans is introduced for medical image feature extraction, which can be effectively applied for diagnostic detection of intestinal abnormalities and ischemia from control patterns. Experimental results obtained from the analysis of clinical data suggest the usefulness of the proposed uncertainty mapping model.
authors.affiliation: School of Medicine, Department of Emergency Medicine, Trauma and Resuscitation Center, Teikyo University, Tokyo 173-8606, Japan. Electronic address: taichirotsunoyama@yahoo.co.jp.
authors.forename: Taichiro
authors.initials: T
authors.lastname: Tsunoyama
authors.affiliation: Aizu Research Cluster for Medical Engineering and Informatics, Research Center for Advanced Information Science and Technology, The University of Aizu, Aizu-Wakamatsu, Fukushima 965-8580, Japan. Electronic address: tdpham@u-aizu.ac.jp.
authors.forename: Tuan D
authors.initials: TD
authors.lastname: Pham
authors.affiliation: School of Medicine, Department of Emergency Medicine, Trauma and Resuscitation Center, Teikyo University, Tokyo 173-8606, Japan. Electronic address: foujitausc@hotmail.com.
authors.forename: Takashi
authors.initials: T
authors.lastname: Fujita
authors.affiliation: School of Medicine, Department of Emergency Medicine, Trauma and Resuscitation Center, Teikyo University, Tokyo 173-8606, Japan. Electronic address: sakamoto.tetsuya@nifty.ne.jp.
authors.forename: Tetsuya
authors.initials: T
authors.lastname: Sakamoto
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D006801:Humans; D007422:Intestines / Q000000981:diagnostic imaging*; D008875:Middle Aged; D008954:Models, Biological; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: Computed tomography; Fuzzy entropy; Indicator kriging; Intestinal abnormalities; Intestinal ischemia; Pattern classification