AUTOMATED DETECTION OF SUPPORTING DEVICE POSITIONING IN RADIOGRAPHY

Chen Sheng, Li Li, Ying Jun

Abstract

Portable X-ray radiographs are heavily used in the ICU for detecting significant or unexpected conditions requiring immediate changes in patient management. One concern for effective 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), naso-gastric 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 is a need for detecting and identifying tube position and type to assist clinicians. The purpose of this paper is to present a 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.

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Paper Citation


in Harvard Style

Sheng C., Li L. and Jun Y. (2008). AUTOMATED DETECTION OF SUPPORTING DEVICE POSITIONING IN RADIOGRAPHY . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 420-424. DOI: 10.5220/0001061004200424


in Bibtex Style

@conference{biosignals08,
author={Chen Sheng and Li Li and Ying Jun},
title={AUTOMATED DETECTION OF SUPPORTING DEVICE POSITIONING IN RADIOGRAPHY},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={420-424},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001061004200424},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - AUTOMATED DETECTION OF SUPPORTING DEVICE POSITIONING IN RADIOGRAPHY
SN - 978-989-8111-18-0
AU - Sheng C.
AU - Li L.
AU - Jun Y.
PY - 2008
SP - 420
EP - 424
DO - 10.5220/0001061004200424