Computer-Aided Interpretation of Intensive Care Unit (ICU) Images: Automated Detection of Supporting Device Positioning
Portable X-ray radiographs are heavily used in the ICU for detecting significant or unexpected conditions requiring immediate changes in patient management. One concern foreffective patient management relates to the ability to detect the proper positioning of tubes that have been inserted into the patient. These include, for example, endo-tracheal tubes (ET) feeding tubes (FT) , nasogastric tubes (NT) , and other tubes. Proper tube positioning can help to ensure delivery or disposal of liquids and air/gases to and from the patient during a treatment procedure. Improper tube positioning can cause patient discomfort, render a treatment ineffective, or can even be life-threatening. However, because the poor image quality in portable AP X-ray images due to the variability in patients, apparatus positioning, and X-ray exposure, it is often difficult for clinicians to visually detect the position of tube tips. Thus, there a need for detecting and identifying tube position and type to assist clinicians. The purpose of this paper is to present computer-aided method for automated detection of tubes and identification of tube types. Use of this method may allow clinicians to detect the tube tips more easily and accurately, thus improving the quality of patient management in the ICU.
Computer-Aided Diagnosis (CAD) Gaussian Filter Contrast-Limited Adaptive Histogram Equalization (CLAHE) Bilateral Hough Transform Bilateral Detection
Yuming Rao Zhimin Huo Sheng Chen John Wandtke David Yankelevitz Claudia Henschke David Foos
Department of Biomedical Engineering, Shanghai Jiaotong University, Shanghai Health Group, Eastman Kodak Company, Rochester, NY Department of Radiology, University of Rochester, Rochester, NY Department of Radiology, Weill Medical College of Cornell University, New York NY
国际会议
北京
英文
626-630
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）