@article{(Open Science Index):https://publications.waset.org/pdf/10008959,
	  title     = {A Review on Medical Image Registration Techniques},
	  author    = {Shadrack Mambo and  Karim Djouani and  Yskandar Hamam and  Barend van Wyk and  Patrick Siarry},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper discusses the current trends in medical
image registration techniques and addresses the need to provide a
solid theoretical foundation for research endeavours. Methodological
analysis and synthesis of quality literature was done, providing a
platform for developing a good foundation for research study in
this field which is crucial in understanding the existing levels of
knowledge. Research on medical image registration techniques assists
clinical and medical practitioners in diagnosis of tumours and lesion
in anatomical organs, thereby enhancing fast and accurate curative
treatment of patients. Literature review aims to provide a solid
theoretical foundation for research endeavours in image registration
techniques. Developing a solid foundation for a research study is
possible through a methodological analysis and synthesis of existing
contributions. Out of these considerations, the aim of this paper is
to enhance the scientific community’s understanding of the current
status of research in medical image registration techniques and also
communicate to them, the contribution of this research in the field of
image processing. The gaps identified in current techniques can be
closed by use of artificial neural networks that form learning systems
designed to minimise error function. The paper also suggests several
areas of future research in the image registration.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {12},
	  number    = {1},
	  year      = {2018},
	  pages     = {48 - 55},
	  ee        = {https://publications.waset.org/pdf/10008959},
	  url   	= {https://publications.waset.org/vol/133},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 133, 2018},