Title: A framework for automatic intrude object identification in paediatric foreign body aspired radiography images

Authors: M. Vasumathy; Mythili Thirugnanam; S. Sumathy

Addresses: School of Computer Science and Engineering, VIT University, Vellore 632014, Tamil Nadu, India ' School of Computer Science and Engineering, VIT University, Vellore 632014, Tamil Nadu, India ' School of Information Technology and Engineering, VIT University, Vellore 632014, Tamil Nadu, India

Abstract: At present, radiography plays a significant role in the field of medical image processing. Medical practitioners and radiologists show keen interest in paediatric health informatics especially in foreign body aspiration (FBA). The radiographic techniques such as X-ray, computer topography, magnetic resonance imaging and ultrasound are the commonly used techniques to analyse the interested regions of interest. This paper focuses is in analysing various radiographic techniques used in paediatric FBA with the focus on the significance of radiographic techniques in medical image processing. A framework is proposed to identify and locate the intrude objects in paediatric X-ray images to reduce the misinterpretation in medical diagnosis.

Keywords: CT; computed tomography; image segmentation; MRI; magnetic resonance imaging; medical imaging; radiography images; foreign bodies; paediatric health informatics; ultrasound; X-rays; object identification; image processing; paediatrics; foreign body aspiration; FBA; medical diagnosis.

DOI: 10.1504/IJIM.2016.079116

International Journal of Image Mining, 2016 Vol.2 No.1, pp.57 - 67

Received: 04 Aug 2015
Accepted: 05 Mar 2016
Published online: 13 Sep 2016 *

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