A Review on Medical Image Registration Techniques

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dc.contributor.authorMambo, Shadrack
dc.contributor.authorDjouani, Karim
dc.contributor.authorYskandar, Hamam
dc.contributor.authorVan Wyk, Barend
dc.contributor.authorSiarry, Patrick
dc.date.accessioned2023-03-08T08:58:06Z
dc.date.available2023-03-08T08:58:06Z
dc.date.issued2018
dc.descriptionarticleen_US
dc.description.abstractThis 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.en_US
dc.identifier.citationMambo, S., Djouani, K., Hamam, Y., van Wyk, B., & Siarry, P. (2018). A review on medical image registration techniques. International Journal of Computer and Information Engineering, 12(1), 48-55.en_US
dc.identifier.issn0000000091950263
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/24892
dc.language.isoenen_US
dc.publisherWorld Academy of Scienceen_US
dc.subjectImage registration techniquesen_US
dc.subjectmedical imagesen_US
dc.subjectneural networksen_US
dc.subjectoptimisationen_US
dc.subjecttransformationen_US
dc.titleA Review on Medical Image Registration Techniquesen_US
dc.typeArticleen_US
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