Abstract
A quantitative study was conducted to direct the design and development of a computerized system for bone age assessment (BAA) in University of Malaya Medical Center (UMMC). Bone age assessment is a clinical procedure performed in pediatric radiology for evaluation the stage of skeletal maturation. It is usually performed by comparing an x-ray of a child’s left hand with a standard of known samples. The current methods utilized in clinical environment to estimate bone age are time consuming and prone to observer variability. This is motivation for developing a computerized method for BAA. A primary analysis shows the current method used by UMMC radiologists for bone age assessment, their feedbacks, problems encountered and their opinions about new approach for BAA. Our study also extracts user requirements for designing and developing a computerized method for BAA.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Thangam, P., T. Mahendiran, et al. (2012). “Skeletal Bone Age Assessment–Research Directions.” Journal of Engineering Science and Technology Review 5(1): 90-96.
Gertych, A., A. Zhang, et al. (2007). “Bone age assessment of children using a digital hand atlas.” Computerized medical imaging and graphics: the official journal of the Computerized Medical Imaging Society 31(4-5): 322.
O’Keeffe, D. (2010). “Denoising of Carpal Bones for Computerised Assessment of Bone Age.”.
Tanner, J. M., Whitehouse, R. H.: Assessment of Skeletal Maturity and Prediction of Adult Height (TW2 Method).London, U.K.: Academic, 1975.
Greulich, W. W., Pyle, S. I.: Radiographic Atlas of Skeletal Development of Hand Wrist, 2nd ed. Stanford, CA:Standford Univ. Press, 1971.
Kearns, G. S., and Lederer, A.L. (2004). The impact of industry contextual factors on IT focus and the use of IT for competitive advantage. Information & Management, 41(7), 899-919.
Berst MJ, Dolan L, Bogdanowicz M et al (2001) Effect of knowledge of chronologic age on the variability of pediatric bone age determined using the Greulich and Pyle standards. AJR 176:507–510.
Rosenfeld RG, Cohen P (2002) Disorders of growth hormone/insulin-like growth factor secretion and action. In: Sperling MA, ed. Pediatric Endocrinology. Philadelphia, PA: Saunders;pgs 211–288.
Unrath, M., H. H. Thodberg, et al. (2013). “Automation of Bone Age Reading and a New Prediction Model Improve Adult Height Prediction in Children with Short Stature.” Hormone research in paediatrics 78(5-6): 312-319.
Abbey, C. K. and H. H. Barrett (2001). “Human-and model-observer performance in ramp-spectrum noise: effects of regularization and object variability.” JOSA A 18(3): 473-488.
Zhang, A., A. Gertych, et al. (2007). “Automatic bone age assessment for young children from newborn to 7-year-old using carpal bones.” Computerized medical imaging and graphics: the official journal of the Computerized Medical Imaging Society 31(4-5): 299.
Patil, S. T., M. Parchand, et al. (2011). “Applicability of Greulich and Pyle skeletal age standards to Indian children.” Forensic Science International.
Mansourvar, Marjan, et al. “A Computer-Based System to Support Intelligent Forensic Study.” Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on. IEEE, 2012.
Muller H, Despont-Gros C, Hersh W et al. (2006) Health care professionals’ image use and search behaviour. Proc MIE;24-32.
O’Keeffe, D. (2010). “Denoising of Carpal Bones for Computerised Assessment of Bone Age.”.
Mansourvar, M., et al., Automated Web based System for Bone Age Assessment using Histogram technique. Malaysian Journal of Computer Science 25(3), 107, 2012.
Acknowledgments
This paper is a part of PhD project in the Faculty of Computer Science and Information Technology (FCSIT), University of Malaya (UM), Kuala Lumpur, Malaysia. This project is under the Grant Number. FL012/2011.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media Singapore
About this paper
Cite this paper
Mansourvar, M., Ismail, M.A., Kareem, S.A., Nasaruddin, F.H., Raj, R.G. (2014). A Quantitative Study for Developing a Computerized System for Bone Age Assessment in University of Malaya Medical Center. In: Herawan, T., Deris, M., Abawajy, J. (eds) Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). Lecture Notes in Electrical Engineering, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-4585-18-7_74
Download citation
DOI: https://doi.org/10.1007/978-981-4585-18-7_74
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-4585-17-0
Online ISBN: 978-981-4585-18-7
eBook Packages: EngineeringEngineering (R0)