A framework for automatic intrude object identification in paediatric foreign body aspired radiography images. (2016)

• Record Type: Journal Article
• Authors: Vasumathy, M.; Thirugnanam, Mythili; Sumathy, S.
• Is Part Of: International journal of image mining. Volume 2:Number 1(2016)
• Page Start: 57
• Page End: 67
• Publication Date: 2016
• Subjects: 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; Image processing -- Periodicals; Data mining -- Periodicals; 006.42
• Languages: English
• ISSNs: 2055-6039

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.