Shape Determination of Aspired Foreign Body on Pediatric Radiography Images Using Rule-Based Approach

Shape Determination of Aspired Foreign Body on Pediatric Radiography Images Using Rule-Based Approach

Vasumathy M (VIT University, India) and Mythili Thirugnanam (VIT University, India)
Copyright: © 2017 |Pages: 12
DOI: 10.4018/978-1-5225-2053-5.ch008
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Abstract

Foreign body aspiration (FBA) is a common problem among pediatric population that requires early diagnosis and prompt successful management. Conventionally the radiography image inspection processes are carried out manually by the experts of medical field. Recently automated systems are developed to improve the quality of the radiography images but none of the work carried out especially to determine the characteristics of the foreign bodies in pediatric foreign body aspired radiography images. The proposed approach focuses on characterizing the foreign body shape using sixteen various geometric and edge features. The shapes are determined by using fuzzy logical connectives formed by logically connecting two or more extracted information and a binary decision tree. More than 100 X-Ray radiography images are used to obtained the experimental research. The method proved that the results are more accurate in determining the foreign body shapes as circle, polygon, sharp and irregular automatically with less time.
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Introduction

Worldwide, the foreign body aspiration is considered as most common cause of accidental death of children. First popular diagnostic tool for identifying foreign body is X-ray that can show the presence of abnormal region. This diagnosing tool has complemented the radiologists and medical practitioners to take right decision in right time in the pediatric foreign body aspiration treatment management process. The treatment management of foreign bodies are always depends on their size, shape and location. Hence, it is important to develop an approach to identify the evidence such as size, shape and location for the early recognition and timely treatment of foreign body aspiration. The proposed work utilizes the knowledge of predefined foreign body characteristics and the knowledge of the various image processing operations used in the existing works for image enhancement and segmentation of foreign body aspired pediatric X-ray images. Some of the existing work has been surveyed for assessing the significance of aspired foreign body characteristics of the foreign body in pediatric foreign aspired radiographic images. The experimental test results are presented with classification accuracy to strengthen the proposed work significance in the process of aspired foreign body treatment management.

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