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Autism Spectrum Disorder: Brain Images and Registration

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10038))

Abstract

Autism is a disorder of brain function that results in languages, communications, social interactions, behaviors, and interests. Various studies of autism in the field of neuroscience and computer science have introduced the complexity of this developmental disability by analyzing nerve signal and brain images. This paper presents the study of the abnormalities in autistic brain images using a new image registration method called “Template-based affine registration”. The major contribution of this technique is aligning the different set of brain images, captured from different devices into a new coordinate system. By using the homogeneous coordinate transformation, the new method provides a robust transformation against rotation and translations of source and target images. The implementation of this study in autistic brain images yields the good results.

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Acknowledgements

“This research was funded by the King Mongkut’s University of Technology North Bangkok. Contract no. KMUTNB-GOV-59-30”. We would also like to thank the Endeavour Research Fellowship Programme and the Australian Government for financial support during the study at the University of Southern Queensland.

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Correspondence to Porawat Visutsak .

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Visutsak, P., Li, Y. (2016). Autism Spectrum Disorder: Brain Images and Registration. In: Yin, X., Geller, J., Li, Y., Zhou, R., Wang, H., Zhang, Y. (eds) Health Information Science. HIS 2016. Lecture Notes in Computer Science(), vol 10038. Springer, Cham. https://doi.org/10.1007/978-3-319-48335-1_15

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  • DOI: https://doi.org/10.1007/978-3-319-48335-1_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48334-4

  • Online ISBN: 978-3-319-48335-1

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